bots.st/toolschema-forge
ToolSchema Forge
Convert and lint LLM tool schemas
1231 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 5
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://toolschema-forge.toolschemaforge.workers.dev/mcp
What it can do
| Tool | What it says it does |
|---|---|
batch_convert_tool_schemas | Convert up to 50 tool definitions at once to the chosen formats, with per-tool issues and ready-to-use bundles. Free: 5 calls/hour per IP with arguments up to 8 KB; then $0.05 USDC per call via x402. |
convert_tool_schema | Convert one LLM tool/function definition between OpenAI, OpenAI strict mode, Anthropic, Gemini, MCP and plain JSON Schema. The input format is auto-detected. Every change is reported as an issue with a JSON pointer. Free: 5 calls/hour per IP with arguments up to 8 KB; then $0.01 USDC per call via… |
lint_tool_schema | Check one LLM tool definition against each provider's schema rules (OpenAI strict, Anthropic, Gemini, MCP) and report errors and warnings with fixes. Free: 5 calls/hour per IP with arguments up to 8 KB; then $0.005 USDC per call via x402. |
mcp_manifest | Generate an MCP server manifest (tools with inputSchema, titles, annotations, HTTP bindings) and a TypeScript stdio server stub from an OpenAPI spec or a list of tools. Free: 5 calls/hour per IP with arguments up to 8 KB; then $0.15 USDC per call via x402. |
openapi_to_tools | Turn an OpenAPI 3.x or Swagger 2.0 spec (JSON object) into LLM tool definitions in the chosen format, one tool per operation. Free: 5 calls/hour per IP with arguments up to 8 KB; then $0.02 USDC per call via x402. |
In its maker's words
Convert, lint and generate LLM tool schemas for OpenAI, Anthropic, Gemini and MCP
- Website
- toolschema-forge.toolschemaforge.workers.dev
- Publisher
- toolschema-forge.toolschemaforge.workers.dev
- Listed from
- the official MCP Registry as
dev.workers.toolschemaforge.toolschema-forge/toolschema-forge - Version
- 1.1.0, updated 24 Oct 2026
- Kinds of work
- Writing and translation, Code and developer tools, AI models and agent tools
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 1231 ms | |
| Answered | 2044 ms | |
| Answered | 645 ms |
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