MCP Registry Search
Server Details
Search and browse every MCP server in the Model Context Protocol registry.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Spacemandomains/mcp-registry-search
- GitHub Stars
- 1
- Server Listing
- mcp-registry-search
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4/5 across 3 of 3 tools scored.
Each tool serves a distinct purpose: searching by keyword, listing all servers, and fetching detailed metadata for a specific server. There is no overlap in functionality or ambiguity in choosing the right tool.
All tool names follow a consistent verb_noun pattern with snake_case: get_mcp_server_details, list_mcp_servers, search_mcp_registry. The verbs (get, list, search) clearly indicate the action, and nouns describe the target.
Three tools is well-scoped for a registry search and discovery service. Each tool is essential for the core workflow, and the count fits comfortably within the ideal range.
The tool set covers the full lifecycle of registry exploration: search to find servers, list to browse all, and get details to inspect a specific server. There are no obvious gaps for the stated purpose of browsing and retrieving MCP server information.
Available Tools
3 toolsget_mcp_server_detailsAInspect
Get full metadata for a specific MCP server by its reverse-DNS registry name (e.g. io.github.username/server-name). Returns all versions, remotes, packages, and tools.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Reverse-DNS registry name of the server (e.g. io.github.username/server-name) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses return content (all versions, remotes, packages, tools) but does not mention error behavior (e.g., server not found), authentication requirements, or potential side effects. It adds some context but lacks important behavioral details.
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 a single sentence that is front-loaded with the action and resource, and every phrase adds value. No wasted words.
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 single-parameter lookup with no output schema, the description sufficiently explains the return value scope. It could be improved with edge-case handling, but overall it is complete enough for basic use.
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?
The schema fully describes the single 'name' parameter with an example, and the description repeats the same example without adding new meaning. Per the baseline for 100% schema coverage, this is adequate but not enhanced by the description.
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 full metadata for a specific MCP server by its reverse-DNS name, distinguishing it from sibling tools that list or search. It also specifies the return content (versions, remotes, packages, tools), leaving no ambiguity.
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 use when you have a known reverse-DNS name and need detailed metadata, which distinguishes it from listing or searching. However, it does not explicitly mention alternatives or when not to use this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_mcp_serversAInspect
Browse all MCP servers in the registry with pagination. Use the next_cursor from the response to fetch subsequent pages.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of servers per page (1-100, default 20) | |
| cursor | No | Pagination cursor from a previous list response | |
| latest_only | No | Only return the latest version of each server (default true) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry behavioral disclosure. It adds pagination behavior and the presence of next_cursor, but doesn't mention potential concerns like authentication, rate limits, or the default latest_only=true which might conflict with the phrase 'all MCP servers'. It's 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 with no filler. The first states the purpose, the second explains pagination, both earning their place. Excellent conciseness and front-loading.
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 list tool, it covers purpose and pagination, but lacks an output schema and doesn't describe the response shape beyond the cursor. The 'all MCP servers' wording introduces slight ambiguity given the latest_only parameter. It's sufficient but not fully 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 does not add much beyond the schema; the only connection is the next_cursor mention which relates to the cursor parameter but isn't a semantic enrichment. It meets the baseline.
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 uses a specific verb ('Browse') and resource ('all MCP servers in the registry'), clearly distinguishing it from sibling tools like get_mcp_server_details (single server) and search_mcp_registry (search). The pagination mention further clarifies its listing purpose.
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?
It provides clear context for use (browsing all servers with pagination) and explicit instruction on using next_cursor for subsequent pages. However, it does not explicitly contrast with siblings or state when not to use it, falling short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_mcp_registryAInspect
Find servers by keyword or name (e.g. 'weather', 'github', 'database'). Returns matching servers with their endpoint URL, transport type, and description.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of results (default 10, max 50) | |
| query | Yes | Keyword or name to search for (e.g. 'weather', 'stripe', 'postgres') |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description is responsible for disclosing behavior. It explicitly states that it returns matching servers with endpoint URL, transport type, and description, which is a key behavioral trait. 'Find' and 'Returns' imply a read-only operation, giving the agent confidence that no modifications occur. It does not cover potential edge cases like pagination, but the schema handles limit description.
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 convey the entire purpose and return value. The description is front-loaded with the action and resource, with no unnecessary words. Excellent conciseness.
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?
The description sufficiently covers the tool's purpose and return fields for a simple 2-parameter search tool. With no output schema, the description tells the agent what to expect in the response. It does not explain ordering or pagination details, but those are not critical for a basic search and are partially covered by the limit parameter in the schema.
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?
The schema descriptions cover both parameters (query and limit) at 100%, so the description adds minimal new meaning. The description provides examples like 'weather' and 'github', but the schema already has similar examples, making this largely redundant. Baseline 3 is appropriate.
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 it finds servers by keyword or name, which is a specific verb+resource combination. It also specifies what is returned (endpoint URL, transport type, description), and the search behavior distinguishes it from sibling tools like list_mcp_servers and get_mcp_server_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 gives clear context for when to use this tool (searching by keyword or name) with examples. However, it does not explicitly mention alternative tools or when NOT to use this search, so it lacks explicit exclusions but still provides a clear use case.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
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Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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