Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Autonomous MCP Agent OS: multi-graph memory, Tasks, Skills, A2A, attestation, OpenTelemetry.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
El creador no incluyó detalles de instalación en el registro. Consulta el README del creador más abajo.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub ANAMIZED, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.5.0) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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