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AllocContext

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Portfolio-aware crypto context for AI agents. Discover holdings, market, sentiment, macro, and regime; optional allocation analysis. Hosted streamable HTTP MCP

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Описание

Portfolio-aware crypto context for AI agents. Discover holdings, market, sentiment, macro, and regime; optional allocation analysis. Hosted streamable HTTP MCP with x402 on Base (USDC/EURC). Privacy: pass-through only — keys never stored. Also on PyPI: pip install "alloc-context[mcp]". Integration: https://github.com/negillett/alloc-context/blob/main/docs/agent-integration.md

README

mcp-name: io.github.AllocContext/alloc-context

Portfolio-aware crypto context for whatever you hold — discover your holdings, holdings-scoped market data, sentiment, macro, and regime; optional allocation analysis when you supply targets. Deterministic JSON over MCP.

New here? Cursor MCP setup — stdio in your editor, or self-hosting with local ingest. Organization: AllocContext on GitHub.

Privacy: nothing stored · one-time read-only · pass-through only when using live portfolio reads. See USE.md.

Quick start (Cursor, self-host)

1. Install

pip install "alloc-context[mcp]"
# From source: pip install -e ".[mcp]"

2. Config and secrets

Copy config/config.example.yaml to config/config.yaml. Copy .env.example to .env and add read-only exchange keys when you want portfolio ingest or macro feeds. See self-hosting.md.

3. MCP config

Add to your global ~/.cursor/mcp.json:

{
  "mcpServers": {
    "alloc-context": {
      "command": "alloc-context",
      "args": [
        "--config",
        "/absolute/path/to/alloc-context/config/config.yaml",
        "mcp"
      ],
      "env": {
        "ALLOC_CONTEXT_DB": "/absolute/path/to/alloc-context/state/alloccontext.db"
      }
    }
  }
}

Use absolute paths. See cursor-mcp.example.json.

4. Refresh facts (optional)

python -m alloccontext --config config/config.yaml ingest

Run before a session or when you want fresh macro/regime data. No cron required.

5. Ask your agent

Call get_context_bundle for a full snapshot. Pure math tools (check_allocation_band, get_rebalance_plan) work without portfolio credentials.

Full setup: cursor-mcp.md. Samples: examples.md.

Not financial advice.

MCP tools

Tool Purpose
get_context_bundle Full ContextBundle — holdings, market, sentiment, macro, delta, regime; optional allocation_analysis
get_market_context Sentiment, macro, ETF, breadth, and market fields (no portfolio)
get_context_at Saved snapshot from ingest history at a given as_of
get_context_delta Notable shifts between two saved snapshots
get_rebalance_plan USD rebalance moves from allocation, target, and NAV
check_allocation_band Drift vs target and whether allocation is outside the band
check_allocation_bands Batch band checks for multiple target scenarios
get_portfolio_state Live NAV and holdings (CEX keys or public EVM wallet address)
get_expectation_review Score optional local theses against context (pass-through)

Market context is holdings-scoped: band assets (BTC/ETH) use OHLC bars; alt holdings (e.g. HYPE) use quote snapshots when cached. See context-bundle.md#market-coverage.

See mcp.md for arguments and resources.

Self-host and development

Run ingest and MCP on your machine — the primary supported path.

See self-hosting.md, local-dev.md (./scripts/dev-up.sh), or docker-self-host.md.

git clone [email protected]:AllocContext/alloc-context.git
cd alloc-context
python3.11 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev,mcp]"
cp .env.example .env
cp config/config.example.yaml config/config.yaml

python -m alloccontext ingest --dry-run
python -m alloccontext rollup --scope daily --stdout
pytest
Command Purpose
python -m alloccontext ingest Pull configured sources → SQLite
python -m alloccontext rollup --scope daily --stdout ContextBundle JSON (facts)
python -m alloccontext status Per-source ingest ages, snapshots, MCP /health
alloc-context mcp MCP server (stdio or HTTP)

Optional HTTP MCP + x402 on your host: mcp-http.md.

AllocContext is self-host only — we do not operate mcp.alloc-context.com. Quickstart: agent-onramp.md · cursor-mcp.md.

Documentation

Document Purpose
docs/agent-onramp.md ~2 min quickstart
docs/cursor-mcp.md Cursor stdio MCP
docs/self-hosting.md Local ingest + MCP
docs/deterministic-context-mcp-pattern.md Ingest → rollup → MCP pattern
docs/mcp.md MCP tools
docs/examples.md Sample tool JSON (redacted)
docs/context-bundle.md ContextBundle schema
docs/USE.md License and use policy
docs/local-dev.md Local internal MCP + dev ingest
docs/docker-self-host.md Docker Compose self-host
docs/distribution.md PyPI and MCP Registry
docs/publishing.md Release workflow
docs/mcp-http.md Optional HTTP + x402 (your host)
docs/user-config.md Bridge user.yaml (legacy archive)

Contributing

GitHub Issues are welcome for bugs, schema feedback, and MCP API suggestions. Unsolicited pull requests are not expected — see CONTRIBUTING.md.

License

MIT License. Self-host via PyPI. See docs/USE.md.

from github.com/AllocContext/alloc-context

Установка AllocContext

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/AllocContext/alloc-context

FAQ

AllocContext MCP бесплатный?

Да, AllocContext MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для AllocContext?

Нет, AllocContext работает без API-ключей и переменных окружения.

AllocContext — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить AllocContext в Claude Desktop, Claude Code или Cursor?

Открой AllocContext на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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