Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/deapi-ai/mcp-server-deapi/claude-mdgit clone --depth 1 https://github.com/deapi-ai/mcp-server-deapiWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.01285 | $0.01285 |
| Opus 5 | $0.00642 | $0.00642 |
| Sonnet 5 | $0.00257 | $0.00257 |
| Haiku 4.5 | $0.00128 | $0.00128 |
Grade A, and why
mcp-server-deapi CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a production-ready MCP (Model Context Protocol) server for the deAPI REST API — a DePIN AI inference service. It exposes all deAPI endpoints as MCP tools, enabling LLMs to perform audio transcription, image generation, OCR, video generation, text-to-speech, and more.
The OpenAPI 3.0 specification is available at https://docs.deapi.ai/.
Development Commands
Setup
uv pip install -e .- Install dependencies (recommended)uv pip install -e ".[dev]"- Install with dev dependenciespip install -e .- Alternative install via pip
Running
python -m src.server_remote- Start the HTTP MCP server (localhost:8000)MCP_HOST=0.0.0.0 MCP_PORT=8000 python -m src.server_remote- Start for remote access
Testing
pytest- Run all testspytest tests/test_tools.py- Run tool tests onlypytest -k "test_name"- Run specific test
Code Quality
black src/- Format coderuff check src/- Lint code
Architecture
Server
The primary server is src/server_remote.py — an HTTP/SSE-based MCP server built with FastMCP. This is the only server entry point (stdio transport is not used).
Authentication Flow
DeapiAuthProviderinsrc/fastmcp_auth.pyhandles OAuth 2.0 (Authorization Code + PKCE)- Authenticated token is stored in
current_deapi_tokenContextVar (src/auth.py) - Tools call
get_client()fromsrc/deapi_client.pywhich reads the token from the ContextVar - Token is forwarded as Bearer auth to the deAPI REST API
Core Modules
src/deapi_client.py- Async HTTP client (DeapiClient) with retry logic and auth forwardingsrc/polling_manager.py- Smart adaptive polling for async job completionsrc/schemas.py- Pydantic models from the OpenAPI specsrc/config.py- Configuration via environment variables (prefix:DEAPI_)src/middleware.py- Model cache middleware that enriches tool descriptions with available models
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 113 lines · 1,285 tokens per session scan A a75e73e582dc
mcp-server-deapi CLAUDE.md is an instructions file published in the GitHub repository deapi-ai/mcp-server-deapi (1 stars, last pushed 4mo ago), licensed MIT. It adds 1,285 tokens to every session, about $0.0064 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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