The Ember MCP Server provides comprehensive access to Ember.js documentation, API references, best practices, and version information through an MCP-compatible interface.
Core Capabilities:
Search Ember Documentation - Search across all Ember documentation sources (API docs, guides, community content) with filtering by category, relevance ranking, and customizable result limits
Access API References - Get detailed API documentation for specific Ember classes, modules, methods, and properties with examples, full parameter details, and official links
Retrieve Best Practices - Obtain modern Ember patterns, anti-patterns to avoid, performance tips, and community-approved approaches for topics like component patterns, state management, and testing
Check Version Information - Get details about Ember versions including current stable releases, recent releases, migration guides, and version-specific features
Access npm Package Information - Retrieve comprehensive package details including versions, dependencies, and maintainer information, plus compare current versions with latest available to determine if updates are needed
Get Contextual Help - Receive implementation guidance, migration assistance, and modern pattern recommendations
The server emphasizes Octane edition patterns and modern JavaScript approaches while highlighting deprecated practices to avoid. All results include links to official Ember.js sources for deeper exploration.
Provides access to the official Ember.js Discord community chat as part of its community resources feature.
Provides comprehensive tooling support for Ember.js development including CLI command execution, codemods for code transformation, documentation access, and integration with community resources like Ember Observer for addon discovery.
Integrates with Node.js as a requirement for running Ember.js applications and executing ember-cli commands.
Allows installation and management of Ember.js packages and addons through npm commands.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Ember MCP Server search for component lifecycle documentation"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP (Model Context Protocol) server that provides comprehensive access to Ember documentation, API references, guides, and community best practices.
Use at your own risk. This MCP server interacts with your project files and executes commands. While the MCP server itself does not directly suggest harmful commands, it provides tools to AI agents that may suggest harmful or destructive operations. We are not responsible for any harm to your projects, including but not limited to:
Deletion of code
Deletion of folders/files outside of your project
Unintended modifications to your codebase
Any other adverse effects
Always review generated commands and changes before applying them, and ensure you have proper version control and backups in place.
Related MCP server: Expo MCP Server
Complete Documentation Access: Search through official Ember.js API docs, guides, and community articles
API References: Get detailed API documentation for Ember classes, modules, and methods
Best Practices: Access curated best practices and modern patterns for Ember development
Version Information: Stay up-to-date with Ember versions and migration guides
npm Package Tools: Get the latest package versions and dependency information from npm registry
Package Manager Detection: Automatically detect which package manager (pnpm, yarn, npm, bun) is being used in a workspace to provide the correct commands
Smart Search: Intelligent search with relevance ranking across all documentation sources
Node.js 22 or higher
any MCP-compatible client
Using the latest release in your configuration:
{
"servers": {
"ember": {
"command": "npx",
"args": ["-y", "ember-mcp"]
}
}
}Or if you need to ensure a specific shell environment is used:
{
"servers": {
"ember": {
"command": "/opt/homebrew/bin/bash",
"args": ["-l", "-c", "pnpm dlx ember-mcp"]
}
}
}{
"servers": {
"ember": {
"command": "npx",
"args": ["-y", "github:NullVoxPopuli/ember-mcp#v0.0.2-ember-mcp"]
}
}
}Any syntax supported by npx would work here
Clone or download this repository:
cd ember-mcp
npm installConfigure in Claude Desktop by editing your claude_desktop_config.json:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Add this to your MCP servers configuration:
{
"servers": {
"ember-docs": {
"command": "node",
"args": ["/absolute/path/to/ember-mcp/index.js"]
}
}
}Then, restart your editor or its extension host
VSCode uses theservers key for all the MCP servers and Claud uses mcpServers
search_ember_docsSearch through all Ember documentation including API docs, guides, and community content.
Parameters:
query (required): Search query (e.g., 'component lifecycle', 'tracked properties')
category (optional): Filter by 'all', 'api', 'guides', or 'community' (default: 'all')
limit (optional): Maximum number of results (default: 5)
Example:
Search for "tracked properties" in Ember docsget_api_referenceGet detailed API documentation for a specific Ember class, module, or method.
Parameters:
name (required): Name of the API element (e.g., 'Component', '@glimmer/component', 'Service')
type (optional): Type of API element ('class', 'module', 'method', 'property')
Example:
Get API documentation for the Component classget_best_practicesGet Ember best practices and recommendations for specific topics. This tool provides modern patterns, anti-patterns to avoid, and community-approved approaches.
Parameters:
topic (required): Topic to get best practices for (e.g., 'component patterns', 'state management', 'testing')
Example:
What are the best practices for component patterns in Ember?get_ember_version_infoGet information about Ember versions, including current stable version, recent releases, and migration guides.
Parameters:
version (optional): Specific version to get info about (returns latest if not specified)
Example:
What's new in the latest Ember version?get_npm_package_infoGet comprehensive information about an npm package including latest version, description, dependencies, maintainers, and more.
Parameters:
packageName (required): Name of the npm package (e.g., 'ember-source', '@glimmer/component')
Example:
What's the latest version of ember-source?
Get information about @glimmer/component packagecompare_npm_versionsCompare a current package version with the latest available version on npm. Shows if an update is needed and provides version details to help with dependency upgrades.
Parameters:
packageName (required): Name of the npm package
currentVersion (required): Current version being used (e.g., '4.12.0')
Example:
I'm using ember-source 4.12.0, should I upgrade?
Compare my current version of @glimmer/component (1.1.2) with the latestdetect_package_managerDetect which package manager (pnpm, yarn, npm, bun) is being used in a workspace by examining lockfiles and package.json. Returns the appropriate commands to use for installing dependencies, running scripts, and executing packages.
Parameters:
workspacePath (required): Absolute path to the workspace directory to analyze (e.g., '/path/to/project')
Example:
What package manager should I use in this project?
Which commands should I use to install dependencies?Why this is important:
AI agents often default to using npm or npx commands, but many projects use different package managers. Using the wrong package manager can cause issues with lockfile consistency and dependency resolution. This tool ensures the AI always uses the correct commands for the project.
User: I need to implement a feature that tracks user preferences. What's the best approach in modern Ember?
The agent will:
1. Use search_ember_docs to find relevant service and state management docs
2. Use get_best_practices to recommend modern patterns
3. Use get_api_reference to show specific API details for Services
4. Provide code examples following best practicesUser: How do I use the @tracked decorator?
The agent will:
1. Use get_api_reference to get detailed @tracked documentation
2. Use search_ember_docs to find related concepts
3. Use get_best_practices to show modern reactive patternsUser: I'm upgrading from Ember 3.x to 4.x, what do I need to know?
The agent will:
1. Use get_ember_version_info to get migration information
2. Use get_best_practices for modern patterns replacing deprecated ones
3. Use search_ember_docs to find upgrade guidesUser: Help me upgrade my Ember dependencies. I'm on ember-source 4.8.0
The agent will:
1. Use detect_package_manager to determine which package manager the project uses
2. Use get_npm_package_info to get the latest ember-source information
3. Use compare_npm_versions to check if an update is available
4. Use get_ember_version_info for migration guides
5. Check other related packages for compatibility
6. Provide commands using the correct package managerUser: I want to add ember-concurrency to my project
The agent will:
1. Use detect_package_manager to check the workspace's package manager
2. Provide the correct command (pnpm add, yarn add, npm install, or bun add)
3. Avoid suggesting npm/npx when the project uses a different package managerThis MCP server fetches documentation from the comprehensive Ember documentation aggregator: https://nullvoxpopuli.github.io/ember-ai-information-aggregator/llms-full.txt
This source includes:
Official Ember.js API documentation (JSON format)
Official guides and tutorials
Community blog posts and articles
Best practices and modern patterns
The documentation is loaded and parsed on server startup, then cached in memory for fast access.
This MCP server is specifically designed to promote Ember best practices by:
Modern Patterns First: Prioritizes Octane edition patterns and modern JavaScript
Anti-Pattern Detection: Highlights patterns to avoid
Community Wisdom: Includes insights from community experts
Version Awareness: Helps users understand version-specific features and deprecations
Complete Context: Provides not just "how" but "why" and "when"
npm startThe server communicates over stdio and expects MCP protocol messages.
npm run devUses Node's --watch flag for automatic restarts during development.
The server consists of:
index.js: Main MCP server implementation with tool handlers
lib/documentation-service.js: Documentation parsing, indexing, and search logic
The documentation service:
Fetches the full documentation on startup
Parses it into searchable sections
Indexes API documentation for fast lookup
Provides smart search with relevance ranking
Extracts best practices and examples
Check that the path in claude_desktop_config.json is absolute and correct
Ensure Node.js is in your PATH
Check Claude Desktop logs: ~/Library/Logs/Claude/ (macOS)
Restart Claude Desktop completely
The server fetches documentation on first use. Check:
Internet connection is available
The documentation URL is accessible
Server logs for error messages
Try broader search terms
Use the category parameter to narrow the search
Check spelling of API names
Contributions are welcome! Areas for improvement:
Better relevance ranking algorithms
Caching of frequently accessed documentation
Support for offline mode
Additional best practice extraction
Integration with Ember CLI documentation
MIT
Compare a current package version with the latest available version on npm. Shows if an update is needed and provides version details to help with dependency upgrades.
| Name | Required | Description | Default |
|---|---|---|---|
| packageName | Yes | Name of the npm package (e.g., 'ember-source', '@glimmer/component') | |
| currentVersion | Yes | Current version being used (e.g., '4.12.0', '1.1.2') |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must compensate. It states the tool shows update necessity and version details, but lacks specifics on output format, side effects, or any limitations. For a read-only tool, this is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description consists of two concise sentences: the first states what the tool does, the second explains its value. No redundant or unnecessary information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description hints at return values ('version details') but does not specify fields. Given the simple parameters and read-only nature, it is mostly complete but could benefit from mentioning exact output like 'returns latest version and boolean update flag'.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema covers both parameters with clear descriptions (e.g., 'Name of the npm package'). The description adds minimal additional meaning beyond the schema descriptions, so a baseline score of 3 is appropriate given 100% schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: compare current and latest npm versions, indicate update need, and provide version details. The verb 'compare' and resource 'versions' are specific, and it distinguishes from sibling tools like 'get_npm_package_info' which likely don't perform direct comparison.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for dependency upgrades but does not explicitly state when to use this tool versus alternatives like 'get_npm_package_info'. No when-not-to-use or alternative tool guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Detect which package manager (pnpm, yarn, npm, bun) is being used in a workspace by examining lockfiles and package.json. Returns the appropriate commands to use for installing dependencies, running scripts, and executing packages. Use this tool BEFORE suggesting package installation or script execution commands to ensure you use the correct package manager.
| Name | Required | Description | Default |
|---|---|---|---|
| workspacePath | Yes | Absolute path to the workspace directory to analyze (e.g., '/path/to/project') |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, but description discloses that the tool examines lockfiles and package.json and returns commands. It implies a read-only operation without side effects. Does not mention specific behavioral traits like permissions or error cases, but the simple nature of detection makes this acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with purpose and usage guidance. Every sentence is necessary and concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple detection tool with one parameter and no output schema, the description covers the essential behavior: detection method, return value (commands), and usage recommendation. Complete for the given complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with the single parameter workspacePath having a description. The description repeats the schema's detail about absolute path but adds no new semantic meaning beyond what the schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool detects package manager by examining lockfiles and package.json, naming the specific managers it can identify. It distinguishes from sibling tools that deal with npm versions and package info, so purpose is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly instructs to use this tool before suggesting package installation or script execution commands, providing clear usage context. However, it does not explicitly mention when not to use it, e.g., when package manager is already known.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get detailed API reference documentation for a specific Ember class, module, or method. Returns full API documentation including parameters, return values, examples, and links to official API docs.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Name of the API element (e.g., 'Component', '@glimmer/component', 'Service', 'Router') | |
| type | No | Type of API element (optional) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, leaving the description to carry the full burden. It mentions returns include parameters, return values, examples, and links, but does not disclose potential errors, authorization needs, or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single, focused sentence that gets to the point without extraneous words. Could be slightly more structured, but it is efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, but the description adequately explains the return content (parameters, return values, examples, links). Given the tool's simplicity (2 params, 1 required), the description is sufficiently complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the baseline is 3. The description adds minimal extra meaning, just echoing the schema's field descriptions (e.g., 'Ember class, module, or method' aligns with 'name' and 'type').
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the verb 'Get' and the resource 'API reference documentation' for Ember classes, modules, or methods. Distinguishes from siblings like 'search_ember_docs' which is for searching, not retrieving specific docs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. Does not mention when not to use it or provide context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get Ember best practices and recommendations for specific topics. This includes modern patterns, anti-patterns to avoid, performance tips, and community-approved approaches. Always use this when providing implementation advice.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | Topic to get best practices for (e.g., 'component patterns', 'state management', 'testing', 'performance') |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does not explicitly state that the tool is read-only, lacks authentication or rate-limit details, and does not describe any side effects. The description only covers output content, missing key behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, front-loaded with the main action, and includes a clear usage directive. No redundant or extraneous words; every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with no output schema, the description sufficiently covers purpose and output content. The lack of behavioral details is noted in transparency, but overall completeness is high given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a descriptive parameter 'topic' that includes examples. The description adds value by explaining what the response will contain (patterns, anti-patterns, etc.), helping the agent understand the parameter's impact beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves Ember best practices and recommendations, listing specific content types (modern patterns, anti-patterns, performance tips). It distinguishes from sibling tools (npm, version, docs) by focusing on implementation advice, making its purpose unmistakable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly advises 'Always use this when providing implementation advice,' providing a strong usage context. However, it does not specify when to avoid this tool or recommend alternatives (e.g., search_ember_docs for general documentation), slightly limiting clarity.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get information about Ember versions, including current stable version, what's new in recent releases, and migration guides. Useful for understanding version-specific features and deprecations.
| Name | Required | Description | Default |
|---|---|---|---|
| version | No | Specific version to get info about (optional, returns latest if not specified) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosure. It states the tool returns version information but does not specify output format, potential side effects, or limitations. The description is adequate but lacks detail beyond listing the types of information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences, front-loaded with the action and key details. No extraneous text; every sentence adds value. Efficient for an AI agent to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given one optional parameter and no output schema, the description covers core functionality. It mentions specific return items (current stable, what's new, migration guides). However, it omits details like error handling or format expectations, leaving minor gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the single optional parameter. The description essentially repeats the schema info ('specific version, optional, returns latest if not specified'), adding no additional meaning beyond what the schema already provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves Ember version info including stable version, what's new, and migration guides. It distinguishes from sibling tools like get_npm_package_info by focusing specifically on Ember version details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions it is 'useful for understanding version-specific features and deprecations,' providing context for when to use it. However, it does not explicitly contrast with alternatives like search_ember_docs or get_api_reference, which could also provide version-related info.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get comprehensive information about an npm package including latest version, description, dependencies, maintainers, and more. Essential for understanding package details before upgrading dependencies.
| Name | Required | Description | Default |
|---|---|---|---|
| packageName | Yes | Name of the npm package (e.g., 'ember-source', '@glimmer/component', 'ember-cli') |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It says 'comprehensive information' but only lists a few examples without detailing the exact output structure, limitations, or whether it makes network calls.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with no filler, front-loading the purpose in the first sentence and adding a use-case in the second.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with no output schema, the description is adequate but could specify the return format or confirm it returns a JSON object. The examples give some idea but not full completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear parameter description including examples. The description adds context on what the parameter retrieves but does not significantly enhance understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The tool name and description clearly state it retrieves comprehensive npm package info, including specific examples like version and dependencies. This distinguishes it from siblings such as compare_npm_versions or get_ember_version_info.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions it is 'essential for understanding package details before upgrading dependencies,' implying a use case. However, it does not explicitly state when not to use this tool or suggest alternatives like compare_npm_versions for version comparison.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Search through Ember.js documentation including API docs, guides, and community content. Returns relevant documentation with links to official sources. Use this for general queries about Ember concepts, features, or usage.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query (e.g., 'component lifecycle', 'tracked properties', 'routing') | |
| category | No | Filter by documentation category (default: all) | |
| limit | No | Maximum number of results (default: 5) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. The description states it 'returns relevant documentation with links to official sources,' which indicates a read-only, safe operation. It does not disclose rate limits, pagination, or authentication needs. For a simple search tool, this is adequate but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the main verb and resource. Every word adds value; no filler. It is highly concise and structured for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (3 parameters, no output schema), the description is complete. It explains what the tool searches, what it returns (relevant docs with links), and its intended use. It could mention result ordering or filtering behavior, but the core information is present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%: all three parameters have descriptions in the schema. The tool description adds no additional parameter-level detail beyond the schema. Baseline is 3 when coverage is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches through Ember.js documentation including various types (API, guides, community content). The verb 'search' and resource 'Ember.js documentation' are specific. Among sibling tools like get_api_reference or get_best_practices, this is the only general search tool, so it distinguishes well.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description advises using the tool for 'general queries about Ember concepts, features, or usage.' This provides clear context. It does not explicitly state when to avoid using it or list alternatives, but the sibling tools are specific (e.g., get_api_reference for detailed lookups), so the guidance is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Each tool targets a distinct area: version comparison, package manager detection, API docs, best practices, version info, npm package info, and documentation search. No two tools overlap in purpose; descriptions clearly differentiate them.
All tool names follow a consistent verb_noun pattern (e.g., compare_npm_versions, detect_package_manager) using snake_case and lowercase, with verbs like 'compare', 'detect', 'get', 'search'. No inconsistencies or mixed conventions.
Seven tools is well-scoped for an Ember development assistant. Each tool serves a clear informational purpose, covering documentation, best practices, versioning, and package management without being excessive or too sparse.
The tool set covers key informational needs for Ember development: documentation retrieval, API references, best practices, version info, and npm package details. Minor gaps exist, such as no tool for debugging or project scaffolding, but these are reasonable omissions for an information-focused server.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
A Model Context Protocol server for Wix AI tools
The Mercado Pago MCP Server implements the Model Context Protocol to provide AI agents and LLMs with access to Mercado Pago's APIs and tools within compatible development environments. It acts as an intermediary that translates Mercado Pago resources into executable functions (tools) that AI applications can invoke to perform actions and automate flows. The server simplifies integration, enables using documentation to implement or improve code, and optimizes operations through natural language interactions without manual implementations.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
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