Skip to main content
Glama
matthewdcage

Cursor MCP Installer

by matthewdcage
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Hybrid

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: adding servers to config, installing from local code, and installing from remote repositories. There is no overlap or ambiguity between these three installation-related operations.

    Naming Consistency4/5

    The tools follow a consistent verb_object pattern (add_to..., install_..., install_...), though 'add_to_cursor_config' uses a prepositional phrase while the others use adjective-noun modifiers. This minor deviation doesn't significantly impact readability.

    Tool Count5/5

    Three tools is perfectly appropriate for an MCP installer server. Each tool covers a distinct installation scenario (config addition, local install, remote install), and there are no missing or redundant tools for this focused purpose.

    Completeness5/5

    The toolset provides complete coverage for MCP server installation workflows: adding to configuration, installing from local sources, and installing from remote repositories. There are no obvious gaps in the installation lifecycle for this domain.

  • Average 2.9/5 across 3 of 3 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • 1 of 1 community issues answered or closed in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Add') but doesn't explain what this entails—whether it modifies configuration files, requires specific permissions, has side effects, or what happens on success/failure. For a configuration mutation tool, this is a significant gap in transparency.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, clear sentence that efficiently conveys the core purpose without unnecessary words. It's front-loaded and wastes no space, making it easy for an agent to parse quickly.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a tool that mutates configuration (implied by 'Add') with 5 parameters, no annotations, and no output schema, the description is insufficient. It doesn't address behavioral aspects like permissions, side effects, or error handling, nor does it help differentiate from sibling tools, leaving the agent with incomplete context for safe and effective use.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, such as explaining relationships between parameters (e.g., 'path' vs 'command+args') or usage examples. Baseline 3 is appropriate when schema does the heavy lifting.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Add') and resource ('any MCP server to Cursor's configuration'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'install_local_mcp_server' or 'install_repo_mcp_server', which likely handle more specific installation scenarios.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides no guidance on when to use this tool versus its siblings ('install_local_mcp_server', 'install_repo_mcp_server'), nor does it mention any prerequisites, alternatives, or exclusion criteria. This leaves the agent without context for tool selection.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action is 'Install', implying a write operation, but doesn't cover permissions needed, side effects (e.g., system changes), error handling, or output format. This leaves significant gaps for a tool that likely modifies the local environment.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and appropriately sized, making it easy to parse quickly.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the complexity of an installation tool with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits (e.g., what 'Install' entails operationally), prerequisites, or expected outcomes, leaving the agent with incomplete context for safe and effective use.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, so the schema already documents all three parameters (path, args, env) with clear descriptions. The description adds no additional parameter semantics beyond what's in the schema, such as examples or constraints, resulting in the baseline score for high schema coverage.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Install') and the resource ('an MCP server whose code is cloned locally on your computer'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'install_repo_mcp_server' beyond the 'cloned locally' detail, which is implied but not contrasted.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides no guidance on when to use this tool versus alternatives like 'install_repo_mcp_server' or 'add_to_cursor_config'. It mentions the resource is 'cloned locally', which hints at a prerequisite, but lacks explicit when/when-not instructions or named alternatives.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations provided, the description carries full burden but lacks behavioral details. It states the installation action but doesn't disclose critical traits like required permissions, side effects (e.g., system changes), error handling, or output format. This leaves significant gaps for an agent to understand the tool's behavior.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and methods, making it easy to parse quickly without unnecessary elaboration.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the complexity of installing software (a mutation operation with potential side effects), no annotations, and no output schema, the description is incomplete. It lacks details on prerequisites, success/failure outcomes, and behavioral context, making it insufficient for safe and effective tool invocation.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, so the schema already documents all parameters (name, args, env). The description adds no additional meaning beyond what the schema provides, such as examples or usage context for parameters. Baseline 3 is appropriate as the schema handles parameter documentation adequately.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Install') and resource ('MCP server'), specifying the installation methods ('via npx or uvx'). However, it doesn't differentiate from sibling tools like 'install_local_mcp_server', which likely handles local installations versus this tool's package-based approach.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    No explicit guidance on when to use this tool versus alternatives is provided. The description mentions installation methods but doesn't clarify scenarios where 'install_repo_mcp_server' is preferred over 'install_local_mcp_server' or other siblings, leaving usage context ambiguous.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

cursor-mcp-installer MCP server

Copy to your README.md:

Score Badge

cursor-mcp-installer MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/matthewdcage/cursor-mcp-installer'

If you have feedback or need assistance with the MCP directory API, please join our Discord server