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Glama

SRI — MCP Server Inspector

Server Details

Read what an MCP server does before connecting: facts quoted at file:line. Free, no key.

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Healthy
Last Tested
Transport
Streamable HTTP
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Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

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.

100% free. Your data is private.
Tool DescriptionsA

Average 4.7/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

With only one tool, there is no possibility of confusion. The purpose is clearly defined and unique.

Naming Consistency5/5

The single tool name follows a clear verb_noun pattern (check_mcp_server), perfectly matching its function.

Tool Count5/5

One tool is exactly the right scope for a narrow, single-purpose oracle. There are no redundant or missing tools.

Completeness5/5

The tool fully covers the domain of verifying MCP servers by analyzing source code and reporting observations. No obvious gaps exist for its intended purpose.

Available Tools

1 tool
check_mcp_serverCheck what an MCP server does before connecting to itAInspect

Free, no key required. Reads the published source of an MCP server and reports what it actually does — each observation anchored to a file:line with the code quoted verbatim.

Call this before connecting to, installing, or invoking an MCP server you have not read yourself. Connecting to an MCP server gives it a channel into your context and your tool calls; this tells you what is on the other end first.

Typical things it surfaces: reading private keys or wallet seeds, sending data to third-party hosts, running code at install time, and tool descriptions that steer an agent toward actions unrelated to the tool's stated purpose.

Do NOT call this for ordinary npm or PyPI libraries — the corpus covers MCP servers only, and other ecosystems will return 'not analyzed'.

This reports observations, not a safety verdict. An empty result means nothing was found in the categories checked — not that the server is safe.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYesMCP server name as published in the registry, e.g. 'ai.example/mcp-server' or 'io.github.owner/repo'.
versionYesExact version, e.g. '1.2.3'.
ecosystemNoAlways 'mcp'. Other ecosystems are not covered.mcp
l402_tokenNoNot needed right now — usage is free. Only used once mainnet settlement is enabled.
Behavior5/5

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

With no annotations provided, the description fully discloses behavior: it reads published source, anchors observations to file:line, reports observations rather than a safety verdict, and explains that an empty result does not imply safety. It also mentions typical findings like private key access, which goes beyond basic mutation safety.

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 longer than typical but every sentence contributes value: core function, actionable timing, examples, exclusions, and limitations. It is well-structured with bold call-to-action and clear separations, making it scannable without redundancy.

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

Completeness5/5

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

For a security-sensitive tool with no output schema, the description explains expected returns (observations with citations), behavior on empty results, and coverage limits. It fully prepares the agent to invoke the tool correctly and interpret results.

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 baseline is 3. The description doesn't add significant parameter semantics beyond what's already in the schema; it reiterates that ecosystem is always 'mcp' and l402_token is free. No extra syntax or format details are provided, so it doesn't exceed baseline.

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 the tool's function: 'Reads the published source of an MCP server and reports what it actually does' — a specific verb and resource. It also differentiates from ordinary libraries by stating it covers only MCP servers, even though no sibling tools exist.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance: 'Call this before connecting to, installing, or invoking an MCP server you have not read yourself.' It also gives a clear exclusion: 'Do NOT call this for ordinary npm or PyPI libraries', which is strong when-not guidance.

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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