agentibridge 0.2.8

Claude CLI transcript indexer and MCP server

AgentiBridge

MCP server that indexes your Claude Code sessions — searchable, resumable, dispatchable

flowchart LR
    E([Any AI Client]) -->|query| D{{MCP Tools}}
    D -->|read| C[(SessionStore)]
    C -->|indexed by| B[Collector]
    B -->|watches| A([Claude Code sessions])

    classDef sessions fill:#6366f1,stroke:#4338ca,color:#fff
    classDef collector fill:#f59e0b,stroke:#d97706,color:#fff
    classDef store fill:#10b981,stroke:#059669,color:#fff
    classDef tools fill:#8b5cf6,stroke:#7c3aed,color:#fff
    classDef client fill:#06b6d4,stroke:#0284c7,color:#fff

    class A sessions
    class B collector
    class C store
    class D tools
    class E client

Why AgentiBridge?

Your Claude Code sessions disappear when the terminal closes. AgentiBridge indexes every transcript automatically and makes them searchable, resumable, and dispatchable — from any MCP client.

• 🔒 Security-first — OAuth 2.1 with PKCE, API key auth, Cloudflare Tunnel with zero inbound ports. Your data never leaves your infrastructure.
• 🔍 AI-powered search — Semantic search with pgvector embeddings. Ask natural language questions across all your past sessions.
• ⚙️ Automatic indexing — Background collector watches ~/.claude/projects/ and incrementally indexes new transcripts. No manual exports.
• 🌐 Multi-client — Works with Claude Code CLI, claude.ai, ChatGPT, Grok, and any MCP-compatible client.
• 🏠 Fully self-hosted — Postgres, Redis, and your data stay on your machine. No SaaS, no vendor lock-in.
• 🚀 Background dispatch — Fire-and-forget task dispatch with session restore. Resume work where you left off.
• ⚡ Zero config to start — Filesystem fallback means no Redis or Postgres required for basic use. Scale up when you need to.

---

Quick Start

pip install agentibridge
agentibridge run
curl http://localhost:8100/health

Then add AgentiBridge to ~/.mcp.json:

{
  "mcpServers": {
    "agentibridge": {
      "url": "http://localhost:8100/mcp"
    }
  }
}

---

Run Modes

Each mode has its own config file, auto-created from a bundled template. Both can run simultaneously.

Mode	Command	Config	Storage
Docker	agentibridge run	~/.agentibridge/docker.env	Redis + Postgres (bundled), TRANSPORT=sse
Native	python -m agentibridge	~/.agentibridge/.env	Filesystem only (default), TRANSPORT=stdio

Docker starts 3 containers (AgentiBridge + Redis + Postgres) with sessions indexed in Redis. Native reads raw JSONL files from ~/.claude/projects/ on each call — no external services needed. To add Redis/Postgres in native mode, run them yourself and set REDIS_URL / POSTGRES_URL in ~/.agentibridge/.env.

See Configuration Reference for all variables.

---

CLI Commands

Command	What it does
agentibridge run	Start the Docker stack
agentibridge run --rebuild	Force rebuild before starting
agentibridge stop	Stop the stack
agentibridge restart	Restart the stack
agentibridge logs	View recent logs (--follow to stream)
agentibridge status	Health, containers, session count
agentibridge version	Print version
agentibridge config	View current config
agentibridge connect	Ready-to-paste client configs
agentibridge tunnel	Tunnel status and URL
agentibridge tunnel setup	Interactive tunnel wizard
agentibridge help	Full reference

See CLI Reference for all commands and flags.

---

MCP Tools

Tool	Example use
list_sessions	"Show me my recent sessions"
get_session	"Get the full transcript for session abc123"
get_session_segment	"Show me the last 20 messages from that session"
get_session_actions	"What tools did I use most in that session?"
search_sessions	"Find sessions where I worked on authentication"
collect_now	"Refresh the index now"
search_semantic	"What were my sessions about database migrations?"
generate_summary	"Summarize what happened in session abc123"
restore_session	"Load the context from my last session on this project"
dispatch_task	"Continue that refactor task in the background"
get_dispatch_job	"What's the status of job xyz?"
list_memory_files	"What memory files exist across my projects?"
get_memory_file	"Show me the MEMORY.md for the antoncore project"
list_plans	"What plans have I created recently?"
get_plan	"Show me the plan called moonlit-rolling-reddy"
search_history	"Find prompts where I mentioned docker"

Note: search_semantic and generate_summary require embeddings + LLM — see Semantic Search. dispatch_task and restore_session require the dispatch bridge — see Session Dispatch. Knowledge catalog tools (list_memory_files, get_memory_file, list_plans, get_plan, search_history) expose Claude Code's memory files, plans, and prompt history.

---

Configuration

Config files are auto-created from bundled templates:

• Docker: ~/.agentibridge/docker.env (created on first agentibridge run)
• Native: ~/.agentibridge/.env (created on first import agentibridge)

Run agentibridge config to view current values. See Configuration Reference for all environment variables.

---

MCP Configuration

AgentiBridge supports two connection modes: local (stdio, zero-config) and remote (HTTP with API key auth). Use one or both depending on your setup.

Option A — Local (stdio)

Runs AgentiBridge as a subprocess alongside Claude Code. No server to manage, no auth needed. Best for single-machine use.

pip install agentibridge

Configuration is auto-loaded from ~/.agentibridge/.env (created on first run). Edit it to customize settings.

Add to your project .mcp.json or ~/.mcp.json:

{
  "mcpServers": {
    "agentibridge": {
      "command": "python",
      "args": ["-m", "agentibridge"]
    }
  }
}

Option B — Remote (HTTP + API key)

Runs AgentiBridge as a persistent server — access your sessions from any device or MCP client over the network. Requires AGENTIBRIDGE_API_KEYS set on the server.

{
  "mcpServers": {
    "agentibridge": {
      "type": "http",
      "url": "https://bridge.yourdomain.com/mcp",
      "headers": {
        "X-API-Key": "sk-ab-your-api-key-here"
      }
    }
  }
}

Run agentibridge connect to get ready-to-paste configs for other clients (ChatGPT, Claude Web, Grok, generic MCP).

---

Connect to Claude.ai

Claude.ai requires OAuth 2.1 to connect to remote MCP servers. AgentiBridge has a built-in OAuth 2.1 authorization server with PKCE — just enable it with one env var.

1. Enable OAuth on your server:

Add to ~/.agentibridge/.env (auto-created on first run — see Configuration):

# Required — enables OAuth 2.1
OAUTH_ISSUER_URL=https://bridge.yourdomain.com

# Optional — lock to a single client (recommended for production)
OAUTH_CLIENT_ID=my-bridge-client
OAUTH_CLIENT_SECRET=generate-a-strong-secret-here
OAUTH_ALLOWED_REDIRECT_URIS=https://claude.ai/api/mcp/auth_callback
OAUTH_ALLOWED_SCOPES=claudeai

2. Expose your server over HTTPS:

agentibridge tunnel setup    # Cloudflare Tunnel (easiest)
# or use your own reverse proxy (nginx, Caddy, etc.)

3. Add to claude.ai:

Go to claude.ai/settings/connectors, add your server URL:

https://bridge.yourdomain.com/mcp

Claude.ai will automatically:

1. Discover OAuth metadata at /.well-known/oauth-authorization-server
2. Register as a client (or use your pre-configured credentials)
3. Complete the PKCE authorization flow
4. Store the access token and refresh it automatically

No manual JSON config needed — claude.ai handles the entire OAuth flow.

4. Verify OAuth is working:

curl https://bridge.yourdomain.com/.well-known/oauth-authorization-server
curl https://bridge.yourdomain.com/health

API key auth (X-API-Key header) continues to work alongside OAuth. Both auth methods are active simultaneously.

See Remote Access & Auth for the full reference.

---

Cloudflare Tunnel

Quick tunnel (no account needed)

Gets you a temporary *.trycloudflare.com URL — useful for testing, changes on restart.

docker compose --profile tunnel up -d
agentibridge tunnel    # prints the current public URL

Named tunnel (your own domain)

Gets you a persistent https://mcp.yourdomain.com that survives restarts.

Requires: A Cloudflare account with a domain added.

agentibridge tunnel setup    # interactive wizard
agentibridge run
curl https://mcp.yourdomain.com/health

The wizard installs cloudflared, authenticates, creates the DNS record, and writes the config. The bridge itself has no domain config — it just listens on localhost:8100 and the tunnel routes your domain to it.

The wizard writes CLOUDFLARE_TUNNEL_TOKEN into ~/.agentibridge/docker.env automatically. This token authenticates the cloudflared container to your Cloudflare tunnel — it's static, so it works permanently across restarts, reboots, and redeployments. It only changes if you delete and recreate the tunnel in the Cloudflare Zero Trust dashboard.

See Cloudflare Tunnel Guide for full details.

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Developer Setup

git clone https://github.com/The-Cloud-Clock-Work/agentibridge
cp .env.example .env
docker compose up --build -d

See CONTRIBUTING.md for testing, linting, and CI details.

---

Resources

• Connecting Clients — Claude Code, ChatGPT, Claude Web, Grok setup
• Configuration Reference — All environment variables
• CLI Commands — Full command and flag reference
• Semantic Search — Embedding backends and natural language search
• Remote Access & Auth — SSE/HTTP transport and API key auth
• Session Dispatch — Background task dispatch and context restore
• Cloudflare Tunnel — Expose to the internet securely
• Reverse Proxy — Nginx, Caddy, and Traefik configs
• Releases & CI/CD — Release process and automation
• Internal Architecture — Key modules and design patterns
• Knowledge Catalog — Memory files, plans, and prompt history
• Contributing

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FAQ

Isn't this just session history?

History is the data layer. The product is remote fleet control — dispatch tasks from your phone, search sessions from any MCP client, monitor jobs from claude.ai. You go from 0% productivity away from your desk to controlling your agents from anywhere.

VS Code / Cursor already has conversation history.

IDE history is local to that IDE. AgentiBridge adds remote multi-client access, background dispatch from any device, and semantic search across your full session history. Leave your desk and dispatch a background task from your phone — your IDE can't do that.

Won't Anthropic build this natively?

AgentiBridge is self-hosted, vendor-neutral infrastructure. Native features optimize for one vendor's client. AgentiBridge works with Claude Code, claude.ai, ChatGPT, Grok, and any MCP client. Your data stays on your machine, and you control the storage backend, embedding model, and access policies. MIT licensed — no lock-in.

Do I need Redis and Postgres?

Not for basic use. agentibridge run bundles Redis and Postgres automatically via Docker — no setup needed. If you run natively (python -m agentibridge), it works without either — sessions are read directly from ~/.claude/projects/ JSONL files on each call. This is slower but has zero dependencies. To add Redis or Postgres in native mode, run them yourself and set REDIS_URL / POSTGRES_URL in ~/.agentibridge/.env.

Is my data sent anywhere?

No. No telemetry, no SaaS dependencies. Cloudflare Tunnel is opt-in, and even then only MCP tool responses traverse the tunnel — your transcripts stay local.

Which clients are supported?

Claude Code CLI, claude.ai, ChatGPT, Grok, and any MCP-compatible client. Run agentibridge connect for ready-to-paste configs.

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Code Quality

This project is continuously analyzed by SonarQube for code quality, security vulnerabilities, and test coverage.

License

MIT