Codevira MCP

Codevira MCP

Codevira MCP provides persistent memory and project context for AI coding agents by maintaining a shared knowledge base of decisions, roadmaps, and code relationships across sessions. It enables semantic code search and automated context tracking to ensure consistency and reduce token overhead during complex development tasks.

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Codevira MCP

Persistent memory and project context for AI coding agents — across every session, every tool, every file.

Python License: MIT MCP Version PRs Welcome Contributions Welcome

Works with: Claude Code · Cursor · Windsurf · Google Antigravity · any MCP-compatible AI tool


The Problem

Every time you start a new AI coding session, your agent starts from zero.

It re-reads files it has seen before. It re-discovers patterns already established. It makes decisions that contradict last week's decisions. It has no idea what phase the project is in, what's already been tried, or why certain files are off-limits.

You end up spending thousands of tokens on re-discovery — every single session.

Codevira fixes this.


What It Does

Codevira is a Model Context Protocol server you drop into any project. It gives every AI agent that works on your codebase a shared, persistent memory:

Capability What It Means
Context graph Every source file has a node: role, rules, dependencies, stability, do_not_revert flags
Semantic code search Natural language search across your codebase — no grep, no file reading
Roadmap Phase-based tracker so agents always know what phase you're in and what comes next
Changeset tracking Multi-file changes tracked atomically; sessions resume cleanly after interruption
Decision log Every session writes a structured log; past decisions are searchable by any future agent
Agent personas Seven role definitions (Planner, Developer, Reviewer, Tester, Builder, Documenter, Orchestrator) with explicit protocols

The result: ~1,400 tokens of overhead per session instead of 15,000+ tokens of re-discovery.


How It Works

Agent Session Lifecycle

flowchart TB

Start([Start Session])

subgraph Orientation
A[Check Open Changesets]
B[Get Project Roadmap]
C[Search Past Decisions]
D[Load Graph Context\nget_node • get_impact]
end

subgraph Execution
E[Plan Task]
F[Implement Code]
G[Run Tests / Validation]
end

subgraph Completion
H[Update Graph Metadata]
I[Write Session Log]
J[Complete Changeset]
end

Start --> A
A --> B
B --> C
C --> D
D --> E
E --> F
F --> G
G --> H
H --> I
I --> J

Code Intelligence Model

flowchart TB

A[Source Code]

subgraph Structural Analysis
B[AST Parser]
C[Function / Class Extraction]
D[Dependency Analysis]
end

subgraph Knowledge Stores
E[(Semantic Index<br/>ChromaDB)]
F[(Context Graph<br/>YAML Nodes)]
end

subgraph Runtime Access
G[MCP Query Layer<br/>search_codebase • get_node • get_impact]
end

H[AI Coding Agent<br/>Claude Code • Cursor]

A --> B
B --> C
C --> E

B --> D
D --> F

E --> G
F --> G

G --> H

Quick Start

1. Add to your project

git clone https://github.com/sachinshelke/codevira .agents
pip install -r .agents/requirements.txt

2. Configure

cp .agents/config.example.yaml .agents/config.yaml

Edit .agents/config.yaml for your project:

project:
  name: my-project
  watched_dirs: ["src"]          # directories to index
  language: python               # python | typescript | go | rust
  file_extensions: [".py"]
  collection_name: my_codebase

3. Build the index

# Builds code index + graph stubs + roadmap in one command
python .agents/indexer/index_codebase.py --full --generate-graph --bootstrap-roadmap

# Auto-reindex on every git commit
bash .agents/hooks/install-hooks.sh

4. Connect to your AI tool

Claude Code — add to .claude/settings.json:

{
  "mcpServers": {
    "Codevira": {
      "command": "python",
      "args": [".agents/mcp-server/server.py"]
    }
  }
}

Cursor — Settings → MCP → Add Server:

  • Command: python
  • Args: .agents/mcp-server/server.py
  • Working directory: project root

Windsurf / Google Antigravity — same as Cursor via the MCP settings panel.

5. Verify

Ask your agent to call get_roadmap() — it should return your current phase and next action.

No roadmap yet? No problem. get_roadmap() auto-creates a Phase 1 stub on first call. No setup required.


Session Protocol

Every agent session follows .agents/PROTOCOL.md. Read it once — then your agents handle the rest.

Session start (mandatory):

list_open_changesets()      → resume any unfinished work first
get_roadmap()               → current phase, next action
search_decisions("topic")   → check what's already been decided
get_node("src/service.py")  → read rules before touching a file
get_impact("src/service.py") → check blast radius

Session end (mandatory):

complete_changeset(id, decisions=[...])
update_node(file_path, changes)
update_next_action("what the next agent should do")
write_session_log(...)

This loop keeps every session fast, focused, and resumable.


26 MCP Tools

Graph Tools

Tool Description
get_node(file_path) Metadata, rules, connections, staleness for any file
get_impact(file_path) BFS blast-radius — which files depend on this one
list_nodes(layer?, stability?, do_not_revert?) Query nodes by attribute
add_node(file_path, role, type, ...) Register a new file in the graph
update_node(file_path, changes) Append rules, connections, key_functions
refresh_graph(file_paths?) Auto-generate stubs for unregistered files
refresh_index(file_paths?) Re-embed specific files in ChromaDB

Roadmap Tools

Tool Description
get_roadmap() Current phase, next action, open changesets
get_full_roadmap() Complete history: all phases, decisions, deferred
get_phase(number) Full details of any phase by number
update_next_action(text) Set what the next agent should do
update_phase_status(status) Mark phase in_progress / blocked
add_phase(phase, name, description, ...) Queue new upcoming work
complete_phase(number, key_decisions) Mark done, auto-advance to next
defer_phase(number, reason) Move a phase to the deferred list

Changeset Tools

Tool Description
list_open_changesets() All in-progress changesets
get_changeset(id) Full detail: files done, files pending, blocker
start_changeset(id, description, files) Open a multi-file changeset
complete_changeset(id, decisions) Close and record decisions
update_changeset_progress(id, last_file, blocker?) Mid-session checkpoint

Search Tools

Tool Description
search_codebase(description, top_k?) Semantic search over source code
search_decisions(query, top_k?) Search all past session decisions
get_history(file_path) All sessions that touched a file
write_session_log(...) Write structured session record

Code Reader Tools (Python only)

Tool Description
get_signature(file_path) All public symbols, signatures, line numbers
get_code(file_path, symbol) Full source of one function or class

Playbook Tool

Tool Description
get_playbook(task_type) Curated rules for a task: add_route, add_service, add_schema, debug_pipeline, commit, write_test

Agent Personas

Seven role definitions in agents/ tell each agent exactly what to do and when:

Agent Invoked When Key Responsibility
orchestrator.md Every session start Classify task, select pipeline
planner.md Large or ambiguous tasks Decompose into ordered steps
developer.md All code changes Write code within graph rules
reviewer.md stability: high or do_not_revert files Flag rule violations
tester.md After every code change Run the test suite
builder.md After tests pass Lint, type-check
documenter.md End of every session Update graph, roadmap, log

Project Structure

.agents/
├── PROTOCOL.md              # Session protocol — read this first
├── config.example.yaml      # Config template
├── config.yaml              # Your config (git-ignored)
├── roadmap.yaml             # Phase tracker (auto-created, git-ignored)
├── mcp-server/
│   ├── server.py            # MCP server entry point
│   └── tools/
│       ├── graph.py
│       ├── roadmap.py
│       ├── changesets.py
│       ├── search.py
│       ├── playbook.py
│       └── code_reader.py
├── indexer/
│   ├── index_codebase.py    # Build/update ChromaDB index
│   ├── chunker.py           # AST-based code chunker
│   └── graph_generator.py   # Auto-generate graph stubs
├── requirements.txt         # Python dependencies
├── agents/                  # Role definitions
│   ├── orchestrator.md
│   ├── planner.md
│   ├── developer.md
│   ├── reviewer.md
│   ├── tester.md
│   ├── builder.md
│   └── documenter.md
├── rules/                   # Engineering standards
│   ├── master_rule.md
│   ├── coding-standards.md
│   ├── testing-standards.md
│   └── ...13 more
├── graph/
│   ├── _schema.yaml         # Node/edge schema reference
│   └── changesets/
├── hooks/
│   └── install-hooks.sh
├── logs/                    # Session logs (git-ignored)
└── codeindex/               # ChromaDB files (git-ignored)

Language Support

Feature Python TypeScript Go Rust
Semantic code search
Context graph + blast radius
Roadmap + changesets
Session logs + decision search
get_signature / get_code
Auto-generated graph stubs
AST-based chunking ⚠️ regex ⚠️ regex ⚠️ regex

All session management, graph, roadmap, and search features work for any language. Only get_signature, get_code, and auto-generated graph stubs are Python-specific.


Requirements

  • Python 3.10+
  • ChromaDB
  • sentence-transformers
  • PyYAML
pip install -r .agents/requirements.txt

Background

Want to understand the full story behind why this was built, the design decisions, what didn't work, and how it compares to other tools in the ecosystem?

Read the full write-up: How We Cut AI Coding Agent Token Usage by 92%


Contributing

Contributions are welcome — this is an early-stage open source project and there's a lot of room to grow.

Read CONTRIBUTING.md for the full guide: forking, branch naming, commit format, and PR process.

Good first areas:

  • Tree-sitter support for TypeScript / Go / Rust (unlocks get_signature and graph auto-generation)
  • Additional playbook entries for common task types
  • IDE-specific setup guides
  • Bug reports and edge case fixes

Reporting a bug?Open a bug report

Requesting a feature?Open a feature request

Found a security issue? → Read SECURITY.md — please don't use public issues for vulnerabilities.

Please open an issue before submitting a large PR so we can discuss the approach first.


FAQ

Common questions about setup, usage, architecture, and troubleshooting — see FAQ.md.


Roadmap

See what's built, what's coming next, and what's being considered — see ROADMAP.md.

Want to influence priorities? Open a feature request or upvote existing ones.


Code of Conduct

This project follows the Contributor Covenant Code of Conduct. By participating, you agree to maintain a respectful and welcoming environment.


License

MIT — free to use, modify, and distribute.

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