{ "openapi": "3.0.1", "info": { "title": "Telegram MCP Agent", "description": "Connect a Telegram bot and an MCP server. People chat with the bot in plain language; an AI agent (Claude) understands them, calls the Apify MCP server's tools, and replies. Bring your own bot + your own MCP Connector. No Claude or ChatGPT account needed for your users.", "version": "0.1", "x-build-id": "gHaR6KCJzeZZRhGPm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/inovaflow~mcpify-telegram/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-inovaflow-mcpify-telegram", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/inovaflow~mcpify-telegram/runs": { "post": { "operationId": "runs-sync-inovaflow-mcpify-telegram", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/inovaflow~mcpify-telegram/run-sync": { "post": { "operationId": "run-sync-inovaflow-mcpify-telegram", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "telegramBotToken", "apifyToken" ], "properties": { "telegramBotToken": { "title": "Telegram bot token", "type": "string", "description": "Required. Your bot's token from @BotFather (send /newbot). The bot signs into Telegram with it. For group chats, also set Group Privacy OFF in @BotFather." }, "apifyToken": { "title": "Apify API token", "type": "string", "description": "Required. The bot embeds this in its Telegram webhook so Apify lets incoming messages through; without it the bot never receives messages. Best practice: scope it to running just this Actor." }, "mcpConnectors": { "title": "MCP server(s) the bot can use", "type": "array", "description": "The MCP server(s) whose tools the bot can use. With none connected, the bot replies as a plain AI chat assistant. Authorize them first in Console → Settings → MCP Connectors, then pick them here." }, "anthropicApiKey": { "title": "Your own Anthropic API key (optional)", "type": "string", "description": "Optional. Runs the AI on your own Anthropic account, so there's no Apify AI charge. Leave empty to use the built-in key, which needs a paid Apify plan." }, "model": { "title": "AI model", "enum": [ "haiku", "sonnet" ], "type": "string", "description": "Which Claude model replies. Haiku is fast and cheap (default); Sonnet is smarter but pricier.", "default": "haiku" }, "systemPrompt": { "title": "Persona / extra instructions (optional)", "type": "string", "description": "Optional. Extra instructions that shape the bot's persona and behavior." }, "allowedChatIds": { "title": "Restrict to specific chats (optional)", "type": "array", "description": "Optional. Telegram chat IDs the bot may answer in. Leave empty to answer in every chat it's added to.", "items": { "type": "string" } }, "maxToolIterations": { "title": "Max tool rounds per reply", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many tool rounds the agent may take per message. Default 12; raise it if multi-step tasks get cut off.", "default": 12 }, "maxOutputTokens": { "title": "Max reply length (tokens)", "minimum": 256, "maximum": 8192, "type": "integer", "description": "Longest a single reply can be, in tokens. Default 2048; longer replies are split across messages.", "default": 2048 }, "historyWindow": { "title": "Conversation memory (messages)", "minimum": 4, "maximum": 60, "type": "integer", "description": "How many recent messages per chat the bot keeps as context. Default 24.", "default": 24 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }