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Notion MCP Server

by gendosu

API-post-search

Search and retrieve Notion pages or databases by title, filter by object type, and sort results by last edited time using a simple API query.

Instructions

Notion | Search by title

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoA set of criteria, `value` and `property` keys, that limits the results to either only pages or only databases. Possible `value` values are `"page"` or `"database"`. The only supported `property` value is `"object"`.
page_sizeNoThe number of items from the full list to include in the response. Maximum: `100`.
queryNoThe text that the API compares page and database titles against.
sortNoA set of criteria, `direction` and `timestamp` keys, that orders the results. The **only** supported timestamp value is `"last_edited_time"`. Supported `direction` values are `"ascending"` and `"descending"`. If `sort` is not provided, then the most recently edited results are returned first.
start_cursorNoA `cursor` value returned in a previous response that If supplied, limits the response to results starting after the `cursor`. If not supplied, then the first page of results is returned. Refer to [pagination](https://developers.notion.com/reference/intro#pagination) for more details.

Implementation Reference

  • Generic handler for executing the 'API-post-search' tool: resolves the operation by name, executes via HTTP client, and formats the response or error.
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      const { name, arguments: params } = request.params
    
      // Find the operation in OpenAPI spec
      const operation = this.findOperation(name)
      if (!operation) {
        throw new Error(`Method ${name} not found`)
      }
    
      try {
        // Execute the operation
        const response = await this.httpClient.executeOperation(operation, params)
    
        // Convert response to MCP format
        return {
          content: [
            {
              type: 'text', // currently this is the only type that seems to be used by mcp server
              text: JSON.stringify(response.data), // TODO: pass through the http status code text?
            },
          ],
        }
      } catch (error) {
        console.error('Error in tool call', error)
        if (error instanceof HttpClientError) {
          console.error('HttpClientError encountered, returning structured error', error)
          const data = error.data?.response?.data ?? error.data ?? {}
          return {
            content: [
              {
                type: 'text',
                text: JSON.stringify({
                  status: 'error', // TODO: get this from http status code?
                  ...(typeof data === 'object' ? data : { data: data }),
                }),
              },
            ],
          }
        }
        throw error
      }
    })
  • Registers the 'API-post-search' tool for listing by constructing tool names as 'API-{operationId}' from generated MCP tools.
    this.server.setRequestHandler(ListToolsRequestSchema, async () => {
      const tools: Tool[] = []
    
      // Add methods as separate tools to match the MCP format
      Object.entries(this.tools).forEach(([toolName, def]) => {
        def.methods.forEach(method => {
          const toolNameWithMethod = `${toolName}-${method.name}`;
          const truncatedToolName = this.truncateToolName(toolNameWithMethod);
          tools.push({
            name: truncatedToolName,
            description: method.description,
            inputSchema: method.inputSchema as Tool['inputSchema'],
          })
        })
      })
    
      return { tools }
    })
  • Generates the input schema for 'post-search' operation by processing OpenAPI parameters and requestBody.
    private convertOperationToMCPMethod(operation: OpenAPIV3.OperationObject, method: string, path: string): NewToolMethod | null {
      if (!operation.operationId) {
        console.warn(`Operation without operationId at ${method} ${path}`)
        return null
      }
    
      const methodName = operation.operationId
    
      const inputSchema: IJsonSchema & { type: 'object' } = {
        $defs: this.convertComponentsToJsonSchema(),
        type: 'object',
        properties: {},
        required: [],
      }
    
      // Handle parameters (path, query, header, cookie)
      if (operation.parameters) {
        for (const param of operation.parameters) {
          const paramObj = this.resolveParameter(param)
          if (paramObj && paramObj.schema) {
            const schema = this.convertOpenApiSchemaToJsonSchema(paramObj.schema, new Set(), false)
            // Merge parameter-level description if available
            if (paramObj.description) {
              schema.description = paramObj.description
            }
            inputSchema.properties![paramObj.name] = schema
            if (paramObj.required) {
              inputSchema.required!.push(paramObj.name)
            }
          }
        }
      }
    
      // Handle requestBody
      if (operation.requestBody) {
        const bodyObj = this.resolveRequestBody(operation.requestBody)
        if (bodyObj?.content) {
          // Handle multipart/form-data for file uploads
          // We convert the multipart/form-data schema to a JSON schema and we require
          // that the user passes in a string for each file that points to the local file
          if (bodyObj.content['multipart/form-data']?.schema) {
            const formSchema = this.convertOpenApiSchemaToJsonSchema(bodyObj.content['multipart/form-data'].schema, new Set(), false)
            if (formSchema.type === 'object' && formSchema.properties) {
              for (const [name, propSchema] of Object.entries(formSchema.properties)) {
                inputSchema.properties![name] = propSchema
              }
              if (formSchema.required) {
                inputSchema.required!.push(...formSchema.required!)
              }
            }
          }
          // Handle application/json
          else if (bodyObj.content['application/json']?.schema) {
            const bodySchema = this.convertOpenApiSchemaToJsonSchema(bodyObj.content['application/json'].schema, new Set(), false)
            // Merge body schema into the inputSchema's properties
            if (bodySchema.type === 'object' && bodySchema.properties) {
              for (const [name, propSchema] of Object.entries(bodySchema.properties)) {
                inputSchema.properties![name] = propSchema
              }
              if (bodySchema.required) {
                inputSchema.required!.push(...bodySchema.required!)
              }
            } else {
              // If the request body is not an object, just put it under "body"
              inputSchema.properties!['body'] = bodySchema
              inputSchema.required!.push('body')
            }
          }
        }
      }
    
      // Build description including error responses
      let description = operation.summary || operation.description || ''
      if (operation.responses) {
        const errorResponses = Object.entries(operation.responses)
          .filter(([code]) => code.startsWith('4') || code.startsWith('5'))
          .map(([code, response]) => {
            const responseObj = this.resolveResponse(response)
            let errorDesc = responseObj?.description || ''
            return `${code}: ${errorDesc}`
          })
    
        if (errorResponses.length > 0) {
          description += '\nError Responses:\n' + errorResponses.join('\n')
        }
      }
    
      // Extract return type (response schema)
      const returnSchema = this.extractResponseType(operation.responses)
    
      // Generate Zod schema from input schema
      try {
        // const zodSchemaStr = jsonSchemaToZod(inputSchema, { module: "cjs" })
        // console.log(zodSchemaStr)
        // // Execute the function with the zod instance
        // const zodSchema = eval(zodSchemaStr) as z.ZodType
    
        return {
          name: methodName,
          description,
          inputSchema,
          ...(returnSchema ? { returnSchema } : {}),
        }
      } catch (error) {
        console.warn(`Failed to generate Zod schema for ${methodName}:`, error)
        // Fallback to a basic object schema
        return {
          name: methodName,
          description,
          inputSchema,
          ...(returnSchema ? { returnSchema } : {}),
        }
      }
    }
  • Generates MCP tool definitions and openApiLookup keyed by 'API-post-search' from OpenAPI operations.
    convertToMCPTools(): {
      tools: Record<string, { methods: NewToolMethod[] }>
      openApiLookup: Record<string, OpenAPIV3.OperationObject & { method: string; path: string }>
      zip: Record<string, { openApi: OpenAPIV3.OperationObject & { method: string; path: string }; mcp: NewToolMethod }>
    } {
      const apiName = 'API'
    
      const openApiLookup: Record<string, OpenAPIV3.OperationObject & { method: string; path: string }> = {}
      const tools: Record<string, { methods: NewToolMethod[] }> = {
        [apiName]: { methods: [] },
      }
      const zip: Record<string, { openApi: OpenAPIV3.OperationObject & { method: string; path: string }; mcp: NewToolMethod }> = {}
      for (const [path, pathItem] of Object.entries(this.openApiSpec.paths || {})) {
        if (!pathItem) continue
    
        for (const [method, operation] of Object.entries(pathItem)) {
          if (!this.isOperation(method, operation)) continue
    
          const mcpMethod = this.convertOperationToMCPMethod(operation, method, path)
          if (mcpMethod) {
            const uniqueName = this.ensureUniqueName(mcpMethod.name)
            mcpMethod.name = uniqueName
            mcpMethod.description = this.getDescription(operation.summary || operation.description || '')
            tools[apiName]!.methods.push(mcpMethod)
            openApiLookup[apiName + '-' + uniqueName] = { ...operation, method, path }
            zip[apiName + '-' + uniqueName] = { openApi: { ...operation, method, path }, mcp: mcpMethod }
          }
        }
      }
    
      return { tools, openApiLookup, zip }
    }
  • Executes the HTTP request for the 'post-search' operation using the generated Axios client.
    async executeOperation<T = any>(
      operation: OpenAPIV3.OperationObject & { method: string; path: string },
      params: Record<string, any> = {},
    ): Promise<HttpClientResponse<T>> {
      const api = await this.api
      const operationId = operation.operationId
      if (!operationId) {
        throw new Error('Operation ID is required')
      }
    
      // Handle file uploads if present
      const formData = await this.prepareFileUpload(operation, params)
    
      // Separate parameters based on their location
      const urlParameters: Record<string, any> = {}
      const bodyParams: Record<string, any> = formData || { ...params }
    
      // Extract path and query parameters based on operation definition
      if (operation.parameters) {
        for (const param of operation.parameters) {
          if ('name' in param && param.name && param.in) {
            if (param.in === 'path' || param.in === 'query') {
              if (params[param.name] !== undefined) {
                urlParameters[param.name] = params[param.name]
                if (!formData) {
                  delete bodyParams[param.name]
                }
              }
            }
          }
        }
      }
    
      // Add all parameters as url parameters if there is no requestBody defined
      if (!operation.requestBody && !formData) {
        for (const key in bodyParams) {
          if (bodyParams[key] !== undefined) {
            urlParameters[key] = bodyParams[key]
            delete bodyParams[key]
          }
        }
      }
    
      const operationFn = (api as any)[operationId]
      if (!operationFn) {
        throw new Error(`Operation ${operationId} not found`)
      }
    
      try {
        // If we have form data, we need to set the correct headers
        const hasBody = Object.keys(bodyParams).length > 0
        const headers = formData
          ? formData.getHeaders()
          : { ...(hasBody ? { 'Content-Type': 'application/json' } : { 'Content-Type': null }) }
        const requestConfig = {
          headers: {
            ...headers,
          },
        }
    
        // first argument is url parameters, second is body parameters
        const response = await operationFn(urlParameters, hasBody ? bodyParams : undefined, requestConfig)
    
        // Convert axios headers to Headers object
        const responseHeaders = new Headers()
        Object.entries(response.headers).forEach(([key, value]) => {
          if (value) responseHeaders.append(key, value.toString())
        })
    
        return {
          data: response.data,
          status: response.status,
          headers: responseHeaders,
        }
      } catch (error: any) {
        if (error.response) {
          console.error('Error in http client', error)
          const headers = new Headers()
          Object.entries(error.response.headers).forEach(([key, value]) => {
            if (value) headers.append(key, value.toString())
          })
    
          throw new HttpClientError(error.response.statusText || 'Request failed', error.response.status, error.response.data, headers)
        }
        throw error
      }
    }
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Search by title' implies a read-only operation, but doesn't specify pagination behavior (though the schema covers this), rate limits, authentication requirements, or what happens with no results. It mentions Notion platform but doesn't clarify API constraints or error conditions. The description adds minimal behavioral context beyond what's implied by 'search'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at just 4 words ('Notion | Search by title'), which is appropriately brief. It's front-loaded with the essential action. However, it could be more structured by explicitly mentioning the resource scope (pages and databases) to improve clarity without sacrificing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 5 parameters with 100% schema coverage but no annotations and no output schema, the description is minimally adequate. It identifies the platform and action but lacks details about the search scope, result format, or behavioral constraints. For a search tool with multiple parameters and no output schema, the description should ideally mention what kind of results to expect (e.g., 'returns matching pages and databases') to be more complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already fully documents all 5 parameters with detailed descriptions. The description 'Search by title' only hints at the 'query' parameter's purpose (searching titles) but doesn't add any meaningful semantic context beyond what the schema provides. No parameter details are explained in the description itself, meeting the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Notion | Search by title' states the platform (Notion) and the action (search), but it's vague about scope and resource. It mentions 'by title' which suggests searching page/database titles, but doesn't specify that it searches both pages and databases or that it's a general search tool. It doesn't clearly distinguish from sibling tools like 'API-post-database-query' which might also involve searching.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There's no mention of when this search tool is appropriate versus other search or query tools in the sibling list (like 'API-post-database-query'), nor any context about prerequisites or limitations. The agent must infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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