AllocContext
FreeNot checkedPortfolio-aware crypto context for AI agents. Discover holdings, market, sentiment, macro, and regime; optional allocation analysis. Hosted streamable HTTP MCP
About
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.
Install AllocContext in Claude Desktop, Claude Code & Cursor
unyly install alloccontextInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add alloccontext -- uvx alloc-contextFAQ
Is AllocContext MCP free?
Yes, AllocContext MCP is free — one-click install via Unyly at no cost.
Does AllocContext need an API key?
No, AllocContext runs without API keys or environment variables.
Is AllocContext hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install AllocContext in Claude Desktop, Claude Code or Cursor?
Open AllocContext on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
GitHub
PRs, issues, code search, CI status
by GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
by mcpdotdirectCompare AllocContext with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All development MCPs
