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/agarwal-saurabh/multiapimcpserver/copilot-instructionsgit clone --depth 1 https://github.com/Agarwal-Saurabh/multiapimcpserverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/agarwal-saurabh/multiapimcpserver/copilot-instructions)<a href="https://agentmods.dev/instructions/agarwal-saurabh/multiapimcpserver/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/agarwal-saurabh/multiapimcpserver/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00520 | $0.00520 |
| Opus 5 | $0.00260 | $0.00260 |
| Sonnet 5 | $0.00104 | $0.00104 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
multiapimcpserver copilot-instructions.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 3d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastMCP OpenAPI Project Instructions
This project is a FastMCP wrapper that dynamically generates MCP (Model Context Protocol) tools from OpenAPI specifications.
Project Status: ✅ COMPLETE
All development tasks have been completed successfully:
- ✅ Project scaffolded with proper Python package structure
- ✅ Core functionality implemented (OpenAPI parsing, tool generation, MCP server)
- ✅ CLI interface created with multiple OpenAPI spec support
- ✅ Authentication support (Bearer, API Key, Basic Auth)
- ✅ Real MCP framework integration verified
- ✅ Parameter schema issues resolved (kwargs → proper function signatures)
- ✅ Testing infrastructure set up
- ✅ Documentation completed
Project Overview
Purpose: Enable AI assistants to interact with any REST API by automatically generating MCP tools from OpenAPI/Swagger specifications.
Key Features:
- Dynamic tool generation from OpenAPI specs
- Type-safe parameter validation
- Multiple authentication methods
- Support for multiple APIs in one server
- CLI and programmatic interfaces
Architecture
src/fastmcp_openapi/server.py- Main MCP server implementationsrc/fastmcp_openapi/parser.py- OpenAPI specification parsersrc/fastmcp_openapi/tool_generator.py- Converts OpenAPI operations to MCP toolssrc/fastmcp_openapi/client.py- HTTP client for API callssrc/fastmcp_openapi/models.py- Data modelssrc/fastmcp_openapi/config.py- Configuration models
Usage
# Basic usage
fastmcp-openapi --spec https://petstore.swagger.io/v2/swagger.json
# With authentication
fastmcp-openapi --spec https://api.example.com/openapi.json --auth-header "Bearer token"
# Multiple APIs
fastmcp-openapi --spec api1.json --spec api2.json --spec api3.json
# Test with MCP Inspector
npx @modelcontextprotocol/inspector fastmcp-openapi --spec examples/simple_api.json
Development Guidelines
- Keep code clean and well-documented
- Follow Python type hints and Pydantic models
- Test with both local and remote OpenAPI specifications
- Ensure proper error handling and logging
- Maintain compatibility with MCP protocol standards
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.
- 3d ago First seen · 68 lines · 520 tokens per session scan A a65ed31cff23
multiapimcpserver copilot-instructions.md is an instructions file published in the GitHub repository Agarwal-Saurabh/multiapimcpserver (1 stars, last pushed 10mo ago), licensed MIT. It adds 520 tokens to every session, about $0.0026 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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