Server MCP Fish Bridge — Session Knowledge Graph | PlugMCP
Lewati ke konten fish_bridge
Session-scoped knowledge graph engine for AI chat context compression.
Compresses AI chat sessions into a typed knowledge graph. Local/offline via Ollama.
Hubungkan alat apa pun ke agen apa pun. Direktori MCP untuk yang tidak menulis server.
Produk
Direktori
Pengembang
Perusahaan
ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY 2026-11-09 Converts raw AI chat (40k+ tokens) into a compact typed knowledge graph (~300–800 tokens) and writes it to .github/copilot-instructions.md or CLAUDE.md — automatically included in every AI turn across all modes (ask, edit, agent). No MCP server required for the core workflow.
Raw session (40k tokens) → [fish_bridge] → Compressed graph (350 tokens)
written to copilot-instructions.md
picked up by every AI turn automatically
Install
Don't have uv? Get it first: curl -LsSf https://astral.sh/uv/install.sh | sh (macOS/Linux) or see uv docs . It replaces pip + pipx + pyenv in one tool — no virtualenv management needed.
Recommended — uv tool install (installs both the fish-bridge CLI and fish-bridge-mcp MCP server on your PATH):
# Local Ollama backend — free, offline (requires Ollama running)
uv tool install fish-bridge-mcp
# Gemini backend (~$0.0002/turn, ~95% quality — recommended cloud option)
uv tool install "fish-bridge-mcp[gemini]"
export GEMINI_API_KEY=...
# Claude backend (~$0.002/turn, ~97% quality)
uv tool install "fish-bridge-mcp[claude]"
export ANTHROPIC_API_KEY=sk-ant-...
# OpenAI backend (~$0.0003/turn, ~93% quality)
uv tool install "fish-bridge-mcp[openai]"
export OPENAI_API_KEY=sk-...
# Everything
uv tool install "fish-bridge-mcp[all]"
After install, two commands are available on your PATH:
fish-bridgeingest, compile, show, serve, ...)fish-bridge-mcp MCP config only (no permanent install needed): use uvx directly in your .vscode/mcp.json — it downloads and runs the MCP server on demand:
{ "command": "uvx", "args": ["fish-bridge-mcp"] }
pip install fish-bridge-mcp
pip install "fish-bridge-mcp[gemini]" # with Gemini backend
pip install "fish-bridge-mcp[claude]" # with Claude backend
pip install "fish-bridge-mcp[all]" # everything
2-minute quickstart # 1. Initialize for your project
fish-bridge init --tool copilot --project ./
# 2. Ingest the latest Copilot session (auto-discovers JSONL on macOS/Linux/Windows)
fish-bridge ingest --source copilot
# 3. View the graph
fish-bridge show
# 4. Compile to your instructions file (done automatically after ingest)
fish-bridge compile
That's it. .github/copilot-instructions.md now contains a ~350-token compressed summary of your session, replacing raw history in every future turn.
Backends fish-bridge config --backend gemini
# or set GEMINI_API_KEY / ANTHROPIC_API_KEY / OPENAI_API_KEY as env vars
Full CLI reference # --- Session init ---
fish-bridge init # create session for current project
fish-bridge init --tool claude # → writes to CLAUDE.md instead
# --- Ingest chat turns ---
fish-bridge ingest --source copilot # auto-discover latest VS Code Copilot session
fish-bridge ingest --source copilot --session <id> # target specific session
fish-bridge ingest --source paste # paste any chat text — opens $EDITOR (universal fallback)
fish-bridge ingest --source file --file export.json # from a saved export file
fish-bridge watch --source copilot # tail JSONL, auto-update on new turns
# --- Merge external knowledge ---
fish-bridge merge --source document --file HANDOVER.md
fish-bridge merge --source codebase --path ./ # git log + README
fish-bridge merge --source obsidian --vault ~/notes
fish-bridge merge --source deps --path ./ # package.json / pyproject.toml etc.
fish-bridge merge --source testout --file results.json # jest / pytest / JUnit
fish-bridge merge --source iac --path ./ # Terraform / CDK / CloudFormation
fish-bridge merge --source openapi --file openapi.yaml
fish-bridge merge --source session --file prior.chatgraph.json
# --- Compile & view ---
fish-bridge compile # update instruction file (runs after ingest by default)
fish-bridge compile --mode digest # full handover markdown
fish-bridge compile --mode focus --query "Redis caching"
fish-bridge show # pretty-print active nodes
fish-bridge show --all # include resolved/deferred items
fish-bridge serve # open Cytoscape.js graph viewer at localhost:8080
fish-bridge digest # generate handover digest
# --- Node management ---
fish-bridge resolve "DNC caching strategy"
fish-bridge defer "v16 index validation"
fish-bridge add "Use Redis for session cache" --type decision
fish-bridge conflict show
fish-bridge conflict resolve <node-id> --keep old
# --- Export / import / diff ---
fish-bridge export # save .chatgraph.json
fish-bridge import prior-session.chatgraph.json
fish-bridge diff session-a.chatgraph.json session-b.chatgraph.json
# --- Config ---
fish-bridge config --show
fish-bridge config --backend gemini
MCP server (optional — agent mode only) The MCP server adds real-time record_turn capture when using VS Code agent mode. It is not required — the file-based workflow above works in all modes without it.
Add to .vscode/mcp.json (uses uvx — no prior install needed):
{
"servers": {
"fish-bridge": {
"command": "uvx",
"args": ["fish-bridge-mcp"],
"env": { "FISH_BRIDGE_BACKEND": "gemini", "GEMINI_API_KEY": "${env:GEMINI_API_KEY}" }
}
}
}
If you used uv tool install fish-bridge-mcp, you can also reference the installed binary directly:
{ "command": "fish-bridge-mcp" }
See examples/ for Claude Desktop, Cursor, and Windsurf configs.
MCP tools : record_turn, get_context, get_focus, mark_resolved, add_node, export_session, import_session, show_active, list_deferred
Ingest sources
How it works
Ingest — reads raw chat turns from JSONL (Copilot), paste, or any file formatExtract — LLM extracts typed nodes (questions, decisions, errors, tasks, skills, files) and edgesDedup — semantic similarity merges near-duplicates; conflict detection flags status reversalsCompile — graph is compressed to ~300–800 token XML/markdown blockWrite — block is written to .github/copilot-instructions.md (or CLAUDE.md)Deliver — AI tool reads the file automatically on the next turn — no injection, no agent required
Documentation
License
Skor direktori 20/100 Terdaftar 10 dari 10
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Belum ada daftar tool. Server remote mendapatkannya setelah pemeriksaan kesehatan pertama.
Bagaimana cara menginstal Fish Bridge — Session Knowledge Graph? Salin konfigurasi stdio untuk Cursor, Claude Desktop, Claude Code, atau VS Code di halaman ini. Konfigurasi ini memakai instalasi dari penerbit, bukan proxy PlugMCP.
Apakah Fish Bridge — Session Knowledge Graph memerlukan kunci API? Penerbit mencantumkan variabel lingkungan berikut: ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY.
Transport apa yang digunakan Fish Bridge — Session Knowledge Graph? Fish Bridge — Session Knowledge Graph berjalan secara lokal melalui stdio.
Kapan Fish Bridge — Session Knowledge Graph terakhir diperiksa? Terakhir diperiksa 2026-11-09. Compresses AI chat sessions into a typed knowledge graph. Local/offline via Ollama.
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