Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Autonomous MCP Agent OS: multi-graph memory, Tasks, Skills, A2A, attestation, OpenTelemetry.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
The maker has not listed install details in the registry. See the maker’s README below.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account ANAMIZED, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.5.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
YodMCP is a production-oriented Agent Operating System kernel on MCP: multi-graph memory, Tasks, Skills, A2A, attestation (software / simulated TEE), OpenTelemetry, and plan-based monetization.
This README is written so a senior engineer with only this file + the source tree can install, deploy every surface, exercise features, and verify end-to-end.
FOUNDRY (host-owned trust and memory for long-horizon agent swarms) separates untrusted proposal generation from host-owned verification + established-facts registry.
YodMCP is that registry in production: agents call memory_write; promotion to semantic memory is gated; the host owns the evaluator. Full note: docs/FOUNDRY.md.
Meters first. Seat if the loop holds.
| Unit | Stripe | x402 |
|---|---|---|
| OpenGOS Search $0.40 | Buy | GET /v1/search |
| OpenGOS Draft $2.50 | Buy | GET /v1/draft |
| Agentic OS Cycle $0.75 | Buy | GET /v1/cycle |
| YodMCP Pro $49/mo | Subscribe | USDC |
x402 rail: x402-cloudflare-starter. Desk sync: https://anamized.grok.me
| Surface | Command | Default | Purpose |
|---|---|---|---|
| MCP | yodmcp | stdio | Local MCP clients (Cursor, Claude Desktop, etc.) |
| MCP HTTP | yodmcp --http --port 8000 | :8000/mcp | Remote / Streamable HTTP MCP |
| API | yodmcp-api --port 8080 | :8080 | REST health, memory, audit, skills, billing |
| A2A | yodmcp-a2a --port 9000 | :9000 | Agent Card, message, tasks |
| SDK | from yodmcp.sdk import YodClient | HTTP client | Thin client for the API |
| Skills | skills:// + skills/*/SKILL.md | auto-loaded | Agent Skills as MCP resources |
| Verify | pytest + scripts/verify_e2e.py | CI | Substrate + durable + TEE modes |
git clone https://github.com/ANAMIZED/YodMCP.git
cd YodMCP python -m venv .venv && source .venv/bin/activate # recommended pip install -e ".[dev]"
Copy environment defaults:
cp .env.example .env
| Variable | Default | Meaning | |||
|---|---|---|---|---|---|
YODMCP_MEMORY_BACKEND | memory | memory \ | sqlite \ | durable | |
YODMCP_MEMORY_DB | ./data/yodmcp_memory.db | SQLite path when durable | |||
YODMCP_ATTEST_MODE | software | software \ | simulated_tee \ | nitro \ | sgx |
YODMCP_PLAN | free | free \ | pro \ | enterprise | |
YODMCP_TENANT_ID | default | Soft quota tenant key | |||
YODMCP_SKILLS_DIR | *(auto)* | Override skills root | |||
STRIPE_SECRET_KEY | unset | Enables live Checkout Sessions |
TEE honesty:
nitro/sgxare provider hooks; without real TEE libraries they fall back to simulated claims. Prefersoftwareorsimulated_teefor local verify.
# 1) MCP over stdio (attach from an MCP client)
yodmcp
yodmcp-api --port 8080
yodmcp-a2a --port 9000
Cursor — project .cursor/mcp.json or global MCP settings:
{
"mcpServers": { "yodmcp": { "command": "yodmcp", "args": [], "env": { "YODMCP_MEMORY_BACKEND": "memory", "YODMCP_PLAN": "free", "YODMCP_ATTEST_MODE": "software" } } } }
If yodmcp is not on PATH, use the module form:
{
"mcpServers": { "yodmcp": { "command": "python", "args": ["-m", "yodmcp"], "cwd": "/absolute/path/to/YodMCP", "env": { "PYTHONPATH": "src", "YODMCP_MEMORY_BACKEND": "memory" } } } }
Claude Desktop — same shape under mcpServers in claude_desktop_config.json.
Streamable HTTP MCP (remote clients that support URL transport):
yodmcp --http --host 0.0.0.0 --port 8000
docker compose up --build
Single API container:
docker build -t yodmcp .
docker run --rm -p 8080:8080 -e YODMCP_PLAN=free yodmcp
# Unit + integration
YODMCP_MEMORY_BACKEND=memory YODMCP_ATTEST_MODE=software \ PYTHONPATH=src pytest tests/ -v
YODMCP_MEMORY_BACKEND=sqlite YODMCP_MEMORY_DB=/tmp/yodmcp.db \ YODMCP_ATTEST_MODE=simulated_tee \ PYTHONPATH=src pytest tests/ -v
PYTHONPATH=src python scripts/verify_e2e.py
Expected: all tests green; script prints ALL E2E CHECKS PASSED.
API smoke (with yodmcp-api running):
curl -s http://127.0.0.1:8080/health
curl -s http://127.0.0.1:8080/api/skills curl -s http://127.0.0.1:8080/api/billing/plans curl -s http://127.0.0.1:8080/api/billing/status
SDK:
python examples/sdk_quickstart.py # requires API on :8080
| Tool | Description |
|---|---|
memory_write | Insert one memory node (facts/decisions). Not for plans (plan_cache_put). |
memory_read | Retrieve nodes by similarity or item_id. Not for plans (plan_cache_get). |
memory_delete | Hard-delete one node + incident edges. Idempotent if missing. |
memory_consolidate | Promote importance ≥ 0.8 into semantic summaries. Does not delete sources. |
memory_stats | Node/edge/entity counts. Not content (memory_read). |
tasks_create | Create a durable pending task handle. |
tasks_get | Fetch one handle by id. |
tasks_list | List recent handles, optional status filter. |
tasks_update | Patch status/progress/result. Not cancel (tasks_cancel). |
tasks_cancel | Mark a handle cancelled (kernel state only). |
tasks_stats | Counts by status. Not a listing (tasks_list). |
skills_list | List Agent Skills + skills:// URIs (bodies are resources). |
a2a_card | A2A Agent Card JSON. Not the MCP catalog (discover_capabilities). |
plan_cache_get / plan_cache_put / plan_cache_delete | Semantic plan templates. Not memory facts. |
cache_stats | In-process cache entry/hit totals. |
attestation_recent | TRACE-style provenance claims. Not the audit trail (audit_recent). |
audit_recent | Policy/tool Decision-System-of-Record events. |
discover_capabilities | List MCP tools + loaded skills. |
echo | Liveness probe (message echoed + version). |
Resources:
skills://{name} — skill markdown bodyyodmcp://agent-card — agent card JSONBuilt-in skills are always registered. Disk skills under skills/*/SKILL.md are loaded automatically (override via YODMCP_SKILLS_DIR). Repo ships:
memory-hygiene, safe-tool-use, funding-usdc, repo-bootstraplong-horizon-planning| Plan | $/mo | Tool calls/day | Durable | TEE |
|---|---|---|---|---|
| Free | 0 | 500 | — | — |
| Pro | 49 | 50k | yes | simulated |
| Enterprise | 499 | unlimited | yes | Nitro/SGX hooks |
STRIPE_SECRET_KEY is set; otherwise checkout returns status: payment_link| Option | Link |
|---|---|
| YodMCP Pro | https://buy.stripe.com/bJe3cw0kCaLrbVz1AY43S09 |
| YodMCP Enterprise | https://buy.stripe.com/9B68wQ1oGcTz9NrfrO43S0a |
| Agentic OS Kernel Support ($99) | https://buy.stripe.com/bJecN63wObPv6Bf7Zm43S02 |
| Public Goods Support ($25) | https://donate.stripe.com/00w5kE3wOg5L8Jn2F243S00 |
| Agentic Systems Consulting Hour ($199) | https://buy.stripe.com/dRmaEYgjA9Hnf7LdjG43S0b |
| Network | Address |
|---|---|
| Base | 0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438 |
| Ethereum | 0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438 |
| Solana | ETQwWf19axArsY493UfC6bxe2BmEzmzvCb58PPnC38A |
Canonical: funding/addresses.json
src/yodmcp/ # package (src-layout)
core/ # server, substrate, context memory/ # in-memory + durable SQLite multi-graph tools/ # MCP tool registration + gate tasks/ skills/ cache/ security/ observability/ monetization/ api/ a2a/ sdk/ skills/*/SKILL.md # portable Agent Skills (loaded at runtime) scripts/verify_e2e.py tests/ docs/ARCHITECTURE.md docs/FOUNDRY.md docs/TDQS.md
src/yodmcp/frontend/dashboard.py still uses legacy core.runtime and is not the primary control plane — use yodmcp-api + MCP tools.sqlite backend + shared volume for multi-process durability.Apache-2.0 · CONTRIBUTING · CHANGELOG · ARCHITECTURE · FOUNDRY · TDQS · AGENTS.md