example-mcp
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., "@example-mcpecho back the following text: Hello, MCP!"
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.
Example MCP
Example MCP server from Scalably. Replace this line.
Install
Claude Code:
claude mcp add example -- npx -y @scalably-io/example-mcpCodex:
codex mcp add example -- npx -y @scalably-io/example-mcpClaude Desktop: download example-mcp.mcpb from the latest GitHub release and open it.
Related MCP server: sentiment-analyzer
Tools (1)
Tool | What it does |
| Return the text you pass in. |
Configuration
Variable | Required | Purpose |
| no | INFO (default) or DEBUG |
Verify
Each release lists the package version, the .mcpb sha256 and the production commit it was derived from in CHANGELOG.md. CI runs the tests and a clean install of the packed tarball on every push.
Privacy Policy
This server runs locally, on your machine, under your own credentials. It collects no personal data, contains no telemetry, stores nothing persistently, and talks only to the vendor API it wraps. No third party, including Scalably, receives your data. Contact: hello@scalably.io. Canonical copy: https://scalably.io/connector-privacy.html
License
MIT. Copyright Scalably.
Available Tools
1 toolexample_echoCRead-only
Return the text you pass in. Replace with real tools.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, and the description only restates the basic read-and-return behavior without adding contextual detail such as formatting, limits, or error cases. The placeholder text adds noise rather than behavioral transparency.
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 first sentence is concise and front-loaded. The second sentence, 'Replace with real tools.', is placeholder metadata that does not belong in a production description and should be removed, lowering the structure quality.
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 one-parameter read-only echo tool, the core behavior is described, but the explicit 'Replace with real tools' instruction signals that this is not a real or final tool, undermining the reliability of the definition. No additional context about usage or behavior is provided.
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 0%, but the description clarifies that the only parameter, 'text', is the content to be returned. This minimally compensates for the missing schema documentation, though it provides no additional detail about constraints or expected formatting.
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 states a specific verb ('Return') and a clear resource ('the text you pass in'), which matches the tool's echo behavior and its title. However, the appended instruction 'Replace with real tools' muddles the purpose and suggests this is a placeholder, preventing a top score.
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?
There is no guidance on when to use this tool versus alternatives, and no sibling tools exist. The phrase 'Replace with real tools' actively misleads an agent by implying this tool should not be used at all.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
example_echo
TDQS
With only a single tool, there is no possibility of confusion or overlap with other tools. The purpose of example_echo is clear and distinct.
The single tool name follows a verb_noun pattern (example_echo), which is consistent and readable. However, with only one tool, consistency across a set cannot be fully established.
At one tool, this server is at the borderline of being too thin. While a minimal example server might justify a single tool, it feels sparse compared to typical well-scoped servers.
The server is explicitly a placeholder with a single echo tool and no clear domain coverage. It has no CRUD operations, no real workflow support, and would fail any practical task beyond echoing text.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Research honeypot. Logs connections and tool arguments; injects instructions. Read README first.
Secure P2P File Transfer, Encrypted Chat & Communication | Decentralized P2P & AES-256-GCM encryption | Zero cloud logs. Zero registration. For humans and autonomous AI agents / MCP servers.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceA stateless Model Context Protocol server that implements a simple echo functionality with resource, tool, and prompt components, enabling LLMs to echo back messages through standardized MCP interactions.1-
- AlicenseNot gradedqualityDmaintenanceProvides a hello and echo tool for basic interaction.121MIT
- FlicenseNot gradedqualityCmaintenanceServes a stateless Streamable-HTTP endpoint with an echo tool, letting users observe exactly how many HTTP requests are involved in a single MCP tool call.-
- AlicenseBqualityCmaintenanceEnables running a Model Context Protocol server with a validated echo tool over stdio or Streamable HTTP, including strict schemas, tests, and hardened container deployment.11MIT
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/scalably-io/mcp-server-template-ts'
If you have feedback or need assistance with the MCP directory API, please join our Discord server