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Glama

Search MCP Servers

search

Search MCP servers by server title/name, description, or by the tools they provide. Accepts natural language capability queries like 'send emails', 'search the web', 'create pull requests', or direct server names like 'GitHub' or 'Stripe'. Results are ranked by relevance: title match first, then tool name match, then description. Each result includes the server's tool list so you can confirm it does what you need.

Set limit based on the type of request you received:

  • Prompting (general/exploratory — user is browsing or asking broadly): use 20-30

  • Task assignment (user delegated a goal for you to execute autonomously): use 10-15

  • Instruction/directive (specific command with a clear target server in mind): use 3-5

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax total results (default 20, max 50). Use 20-30 for exploratory prompts, 10-15 for delegated tasks, 3-5 for specific directives.
queryYesServer name/title (e.g. 'GitHub', 'Stripe') OR a task/capability (e.g. 'send emails', 'search the web', 'create pull requests', 'analyze crypto prices')
sourcesNoFilter to specific sources: official-registry, glama, mcpso, x402direct, mppscan
payment_protocolNoFilter results to servers using specific payment protocols. x402 queries x402.direct, mpp queries mppscan.com.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries full responsibility. It discloses ranking order (title first, then tool name, then description) and that results include the server's tool list. It does not cover rate limits, empty results, or pagination, but these are not critical for a search tool.

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 concise and well-structured, with a clear first paragraph and a practical bulleted list for limit settings. Every sentence adds value, no redundancy.

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

Completeness4/5

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

For a search tool with 4 parameters and no output schema, the description covers purpose, ranking, result contents, and limit selection. It does not elaborate on `sources` or `payment_protocol`, but the schema already documents those, so the description is sufficiently complete.

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

Parameters4/5

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

Schema coverage is 100%, and the description adds meaningful value beyond the schema by explaining query types with examples and providing specific limit guidelines for different use cases. This exceeds the baseline 3.

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

Purpose5/5

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

The description clearly states 'Search MCP servers by server title/name, description, or by the tools they provide,' using a specific verb and resource. It differentiates from siblings like catalog/inspect by focusing on discovery through queries, including natural language capabilities.

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

Usage Guidelines4/5

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

Provides explicit, actionable guidance on setting the `limit` parameter based on request type (exploratory, task, directive). However, it does not mention when to use search over sibling tools, nor any exclusion criteria.

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

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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: catalog lists registries, checkout handles payment, inspect retrieves metadata, and search finds servers. No overlap or ambiguity.

Naming Consistency5/5

All tool names are single lowercase verbs (catalog, checkout, inspect, search), following a consistent and predictable pattern.

Tool Count5/5

4 tools are well-scoped for a server library: listing, searching, inspecting, and paying. Neither too few nor too many.

Completeness5/5

The tool surface covers the core user workflow: discover servers (catalog, search), examine them (inspect), and pay (checkout). No obvious gaps given the domain.

Resources