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Glama
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Server Details

Search public open-source code, documentation, metadata, vulnerabilities, changelogs, and examples.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
githits-com/githits-cli
GitHub Stars
77
Server Listing
GitHits

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 15 of 15 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct action: code_files lists, code_read reads, code_grep greps, docs_list/docs_read handle docs, pkg_* tools cover distinct package metadata aspects, and search/get_example/search_status are clearly separated by use case. Even the three search-related tools are clearly scoped to different needs.

Naming Consistency2/5

Names are all lowercase snake_case but follow inconsistent patterns: code_read, docs_list are object-first verbs, whereas get_example and search_language are imperative verb-object, and pkg_info or feedback are noun-only. The prefixes (code_, docs_, pkg_, search_) help, but the mix of verb placement and noun-only names makes the set feel less coherent.

Tool Count5/5

15 tools is on the high end but well-scoped for a comprehensive code/package intelligence server. Each tool covers a distinct facet of the domain without redundancy, and the count does not feel padded.

Completeness5/5

The tool surface covers the full lifecycle for the domain: searching, listing, reading files, browsing docs, checking package metadata/deps/vulnerabilities/release notes, and getting examples. There is also feedback and async search follow-up, so no obvious dead ends or missing operations.

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