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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
pingA

Checks whether the Signalint MCP server is responsive. Read-only; returns the string "pong" with no side effects. Use this to verify the server is connected before running diagnostics. Invalid arguments return an error response; no authentication is required.

check_projectA

Runs and clusters Oxlint and TypeScript (and optionally Biome) lint and type diagnostics for one or more project paths. Read-only; no files are written or modified. Paths default to the project root (".") when omitted; paths must be relative and within the project directory — absolute paths or paths outside the root return an error response. Use this for a full project scan; use check_files instead for faster incremental checks after editing specific files. Each call re-runs all enabled engines with no caching.

check_filesA

Runs Oxlint and TypeScript (and optionally Biome) lint and type diagnostics on a specific list of files, using per-engine content-hash caching to skip unchanged files. Read-only; no files are written or modified. Use this for incremental checks after editing specific files; use check_project for a full project scan. The files parameter expects relative file paths (not glob patterns) within the project directory — absolute paths or paths outside the root return an error response. Caching is file-content-hash-based: a file is re-checked only when its content or the engine's config file (e.g., .oxlintrc, tsconfig.json) has changed since the last call, not based on git status. TypeScript is a whole-program engine: it re-runs whenever any TypeScript file in the request has changed content.

get_issue_detailA

Returns the full issue list for either one cluster ID or one issue ID from the most recent check_project or check_files call. Read-only; no files are written or modified. Supply exactly one of clusterId or issueId — supplying both or neither returns an argument error. If the referenced cluster or issue no longer exists in the latest results (e.g., after re-running a check), returns a status: "stale" response instead of an error; call check_project or check_files again to refresh.

get_loop_statusA

Returns all diagnostic issue signatures currently flagged as looping (repeatedly appearing and disappearing) in this server session. Read-only; no files are written or modified. Loop history is accumulated across all check_project and check_files calls in this process lifetime, and is restored from .signalint/session.jsonl on startup. Takes no parameters. Use this to identify which diagnostics an agent is oscillating on; use check_project or check_files to run fresh diagnostics.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.7/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clear, distinct responsibility: health check, full-project scan, incremental file scan, issue detail retrieval, and loop tracking. check_project and check_files are carefully differentiated by scope and caching semantics, with descriptions explicitly cross-referencing when to use each.

Naming Consistency4/5

Four tools follow a clear check_/get_ verb-noun pattern, making their purpose predictable. ping is a one-word health-check exception, but it is idiomatic and does not create real inconsistency.

Tool Count5/5

Five tools cover the core workflow of connecting, scanning, inspecting results, and monitoring loops without redundancy. Each tool earns its place, and the count is well within the ideal 3-15 range for a focused diagnostics server.

Completeness5/5

The toolset covers the full diagnostic lifecycle: full-project and incremental checking, issue detail retrieval, and loop detection. For a read-only lint/type diagnostics server, there are no obvious missing operations that would cause agent failures.

Maintenance

ActivityActive
ResponsivenessNo issues