Lulu Registry MCP
Server Details
Search and get install details on MCP servers, right from your agent -- a unified marketplace index.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
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 4.6/5 across 2 of 2 tools scored.
The two tools have clearly distinct purposes: one searches across registries to find MCP servers, the other retrieves full details for a specific server by slug. There is no overlap or ambiguity.
Both tool names follow a verb_noun pattern (search_mcps, get_mcp), using lowercase snake_case consistently. The singular/plural difference is appropriate to the return type.
With only two tools, the server feels minimal but not unreasonable for its narrow purpose of searching and inspecting MCP registry entries. It sits at the low end of the acceptable range.
The search-to-detail flow covers the primary use case completely: agents can find a server and then retrieve full installation and trust information. Minor extras like listing all categories or trending servers could be added, but they aren't essential.
Available Tools
2 toolsget_mcpARead-onlyInspect
Full details for one MCP server from the unified index, by slug (as returned by search_mcps): description, per-client install commands (Claude Code / Claude.ai / JSON config), transports, categories, the registries it's listed on with links, and its trust score. Use after search_mcps when the user wants to install or inspect a specific server.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool as read-only. Description adds the return payload structure (install commands, transports, categories, registries, trust score) and clarifies the slug comes from search_mcps. Minor gap: no mention of not-found behavior or case sensitivity, but acceptable for a read-only lookup.
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 the core purpose, followed by a compact list of included data and an explicit usage direction. Every phrase earns its place with no redundancy.
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 one required parameter, a read-only annotation, and an output schema, the description covers what the tool does, what it returns, and when to use it. It gives the agent everything needed to select and invoke the tool correctly.
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 provides only 'slug' as a string with no description (0% coverage). Description compensates by explaining what the slug is (as returned by search_mcps) and that it targets a single server, adding necessary context for correct invocation.
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?
States it provides full details for a single MCP server by slug, listing the specific content fields and linking to search_mcps for discovery. This distinguishes it clearly from the sibling search tool.
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 directs to use after search_mcps when the user wants to install or inspect a specific server, giving a clear workflow and contrasting with the alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_mcpsARead-onlyInspect
Search every major MCP registry at once — the official registry,
Glama, PulseMCP and Smithery, deduplicated and ranked by a cross-
registry trust score. Use whenever you need to FIND an MCP server for
a capability: "find me a weather MCP", "is there an MCP for Stripe?",
"MCP servers for browsing the web". Returns ranked servers with
install one-liners and links. category narrows (e.g. "security",
"data"); limit caps results (1-10, default 8).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| category | No |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotation only provides readOnlyHint=true, and the description adds valuable behavioral context: it searches multiple registries, deduplicates results, ranks by a trust score, and returns install one-liners and links. This goes beyond the annotation's safety disclosure. However, it does not mention any potential limitations or rate limits, so it doesn't fully maximize transparency; but it significantly enriches the read-only intent.
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 compact and well-structured, starting with the core function, then usage guidance, return value summary, and parameter details. Every sentence adds value and the information is front-loaded.
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 moderate complexity, an output schema exists, and the read-only annotation is present, the description provides sufficient context: what it searches, how results are ranked, what it returns, and parameter usage. No critical gaps are apparent; it is complete for an agent to decide when and how to invoke the tool.
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%, so the description must compensate. It explicitly explains 'category' (narrows, with examples) and 'limit' (caps results 1-10, default 8). The 'query' parameter is not explicitly described, but its purpose is clearly inferred from the search context and examples. Overall, it adds meaning beyond the bare 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's function: 'Search every major MCP registry at once' with specific registries named. It distinguishes from sibling 'get_mcp' by focusing on search/find across multiple sources, and provides concrete example queries. This is a specific verb+resource+scope.
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 says 'Use whenever you need to FIND an MCP server for a capability' and provides example use cases. It gives clear context for when to use the tool, but does not explicitly mention when not to use it or name an alternative (e.g., get_mcp for retrieving specific server details). Therefore, it lacks the explicit exclusion/alternative guidance needed for a 5.
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
Access analytics and receive server usage reports
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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