veridge-mcp-server
Enables AI assistants to query a project's unified graph (code, documents, decisions) with token-budgeted, ranked context, including focus, impact, and find operations.
- Score
- 22.5571 signal
- Evidence
- 1 star
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
Enables AI assistants to query a project's unified graph (code, documents, decisions) with token-budgeted, ranked context, including focus, impact, and find operations.
When to use it
Enables AI assistants to query a project's unified graph (code, documents, decisions) with token-budgeted, ranked context, including focus, impact, and find operations.
How to install / invoke
See Glama for the install config.
Notes
Listed from the Glama MCP registry.