Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,541Letters: 14Defects: 1,323counted just now
teppi

Server definition

Hash
sha256:1e42d504dcd6b80808a761aa21517bae7b6a1017630167b7e964cc7dbdff6fd5
What it is
What a remote MCP server returned when asked what it offers: 5 tools

The blob, as servednamed by its sha256

{ "instructions": null, "tools": [ { "description": "Ask a general-purpose LLM a question or give it an instruction, with an optional system prompt. No external API key required.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "max_tokens": { "description": "Maximum tokens to generate (default 512).", "exclusiveMinimum": 0, "maximum": 2048, "type": "integer" }, "prompt": { "description": "The user's message or question for the assistant.", "minLength": 1, "type": "string" }, "system": { "description": "Optional system instruction to steer the assistant's behaviour/persona.", "type": "string" } }, "required": [ "prompt" ], "type": "object" }, "name": "chat", "outputSchema": null }, { "description": "Classify a text into exactly one of the candidate labels you provide (e.g. sentiment, topic, intent).", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "labels": { "description": "Candidate labels to choose from, e.g. ['positive','negative','neutral'].", "items": { "minLength": 1, "type": "string" }, "maxItems": 20, "minItems": 2, "type": "array" }, "text": { "description": "The text to classify.", "minLength": 1, "type": "string" } }, "required": [ "text", "labels" ], "type": "object" }, "name": "classify", "outputSchema": null }, { "description": "Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "text": { "description": "Text to embed into a numeric vector for semantic search / RAG.", "minLength": 1, "type": "string" } }, "required": [ "text" ], "type": "object" }, "name": "embed", "outputSchema": null }, { "description": "Extract named entities from text — people, organizations, locations, dates and miscellaneous — returned as structured JSON.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "text": { "description": "The text to extract named entities from.", "minLength": 1, "type": "string" } }, "required": [ "text" ], "type": "object" }, "name": "extract_entities", "outputSchema": null }, { "description": "Summarize a block of text into a short abstract, with an optional target length. No external API key required.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "max_words": { "description": "Approximate maximum length of the summary, in words (default ~80).", "exclusiveMinimum": 0, "maximum": 400, "type": "integer" }, "text": { "description": "The text to summarize.", "minLength": 1, "type": "string" } }, "required": [ "text" ], "type": "object" }, "name": "summarize", "outputSchema": null } ] }
Verify it yourselfcurl -s https://api.teppi.xyz/v1/evidence/sha256:1e42d504dcd6b80808a761aa21517bae7b6a1017630167b7e964cc7dbdff6fd5 | sha256sum