Flyto Indexer
Give your agent codebase intelligence—semantic search, dependency graphs, and impact analysis—before refactors or large changes.
Overview
Flyto Indexer is a MCP server for the Build phase that provides semantic code search, dependency graphs, and impact analysis for agent-driven development.
What is this MCP server?
- Python MCP server flyto-indexer (v2.10.2) via flyto_indexer.mcp_server
- Semantic search across the indexed codebase
- Dependency graph construction and queries
- Impact analysis before edits or refactors
- stdio transport for local agent workflows
- Server version 2.10.2
- PyPI identifier flyto-indexer
- Launched via python -m flyto_indexer.mcp_server
What problem does it solve?
Agents miss blast radius on refactors because they only see open files and cannot reliably map dependencies across the whole repo.
Who is it for?
Indie developers on non-trivial codebases who want MCP-powered structural queries while pairing with an agent on refactors.
Skip if: Tiny scripts with a handful of files, or operators who only need live production metrics rather than static code graphs.
What do I get? / Deliverables
After indexing, your agent can run semantic search and impact analysis so edits are grounded in dependency structure, not guesswork.
- Semantic search results over codebase symbols and concepts
- Dependency graph views for modules and packages
- Impact analysis summaries for proposed changes
Recommended MCP Servers
Journey fit
Code intelligence fits Build when you are changing structure and need grounded answers about what breaks if you touch a symbol or service. Integrations is the shelf because the MCP server indexes and queries the repo as an external intelligence layer hooked into the agent.
How it compares
Repo intelligence MCP indexer, not a secure execution runtime and not a diagram documentation server.
Common Questions / FAQ
Who is Flyto Indexer for?
Solo builders and small teams using MCP agents on real codebases who need dependency and impact insight before merging risky changes.
When should I use Flyto Indexer?
Use it during Build when planning refactors, tracing callers, or answering ‘what depends on this?’ across the repository.
How do I add Flyto Indexer to my agent?
Install flyto-indexer from PyPI (v2.10.2), register an MCP stdio server that runs python -m flyto_indexer.mcp_server, point it at your project per package docs, then invoke search and graph tools from your client.