TempoGraph
Give the agent a structured code-graph view of your repo—symbols, relationships, and cross-language structure—so refactors and feature work stay accurate across large trees.
Overview
TempoGraph is an MCP server for the Build phase that provides a code-graph context engine with 24 tools and tree-sitter support for 170+ languages.
What is this MCP server?
- 24 MCP tools over a code-graph context engine
- 170+ languages parsed via tree-sitter
- PyPI package tempograph (v0.7.2) with stdio transport
- Local stdio MCP—suited to per-workspace codebase indexing
- 170+ languages via tree-sitter
- Package version 0.7.2
Community signal: 1 GitHub stars.
What problem does it solve?
Large or multi-language repos overwhelm agents that only read snippets, leading to wrong refactors and missed dependencies.
Who is it for?
Indie devs using agent-first workflows on sizable or polyglot codebases who need graph-level navigation beyond single-file context.
Skip if: Tiny single-file scripts or teams that forbid local indexing tools in the MCP chain.
What do I get? / Deliverables
After TempoGraph is running on stdio, the agent can query graph-backed code context while you build features and navigate complex projects.
- Graph-backed code queries available to the agent in-session
- Improved cross-file reasoning for refactors and feature implementation
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Journey fit
Code-graph context is consumed while you implement and navigate the codebase, which is core Build work for agent-assisted development. TempoGraph exists to enlarge what the coding agent can see in the repo, which is the agent-tooling subphase rather than shipping tests or launch SEO.
How it compares
Local code-graph MCP server, not a hosted documentation crawler or generic ripgrep skill.
Common Questions / FAQ
Who is TempoGraph for?
Builders who want coding agents to understand repo structure, symbols, and relationships across many languages via tree-sitter.
When should I use TempoGraph?
Use it during build and refactor work when file-at-a-time context is too thin for safe changes in large or polyglot projects.
How do I add TempoGraph to my agent?
Install the PyPI package tempograph, configure stdio MCP in your client, and run it against the repository root you want graphed.