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MoralisWeb3

Moralis MCP Server

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by MoralisWeb3

evm_getpaircandlesticks

Retrieve OHLCV candlestick data for token pairs to analyze price movements and trading volume across multiple blockchains.

Instructions

Retrieve OHLCV (Open, High, Low, Close, Volume) candlestick data for a token pair.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesThe pair address
chainNoThe chain to queryeth
timeframeYesThe timeframe1h
currencyYesThe currencyusd
fromDateYesThe starting date (format in seconds or datestring accepted by momentjs) * Provide the param 'fromBlock' or 'fromDate' * If 'fromDate' and 'fromBlock' are provided, 'fromBlock' will be used.
toDateYesThe ending date (format in seconds or datestring accepted by momentjs) * Provide the param 'toBlock' or 'toDate' * If 'toDate' and 'toBlock' are provided, 'toBlock' will be used.
limitNoThe number of results to return
cursorNoThe cursor returned in the previous response (used for getting the next page)

Implementation Reference

  • Generic tool handler that executes the logic for 'evm_getpaircandlesticks' by proxying to the Moralis API based on dynamically generated tool definition.
    export async function executeApiTool(
      toolName: string,
      definition: McpToolDefinition,
      toolArgs: JsonObject,
      allSecuritySchemes: Record<string, any>,
      token?: string,
    ): Promise<CallToolResult> {
      try {
        // Validate arguments against the input schema
        let validatedArgs: JsonObject;
        try {
          const zodSchema = getZodSchemaFromJsonSchema(
            definition.inputSchema,
            toolName,
          );
          const argsToParse =
            typeof toolArgs === 'object' && toolArgs !== null ? toolArgs : {};
          validatedArgs = zodSchema.parse(argsToParse);
        } catch (error: unknown) {
          if (error instanceof ZodError) {
            const validationErrorMessage = `Invalid arguments for tool '${toolName}': ${error.errors.map((e) => `${e.path.join('.')} (${e.code}): ${e.message}`).join(', ')}`;
            return { content: [{ type: 'text', text: validationErrorMessage }] };
          } else {
            const errorMessage =
              error instanceof Error ? error.message : String(error);
            return {
              content: [
                {
                  type: 'text',
                  text: `Internal error during validation setup: ${errorMessage}`,
                },
              ],
            };
          }
        }
    
        // Prepare URL, query parameters, headers, and request body
        let urlPath = definition.pathTemplate;
        const queryParams: Record<string, any> = {};
        const headers: Record<string, string> = {
          Accept: 'application/json',
          'X-Moralis-Platform': 'MCP',
        };
        let requestBodyData: any = undefined;
    
        // Apply parameters to the URL path, query, or headers
        definition.executionParameters.forEach((param) => {
          const value = validatedArgs[param.name];
          if (typeof value !== 'undefined' && value !== null) {
            if (param.in === 'path') {
              urlPath = urlPath.replace(
                `{${param.name}}`,
                encodeURIComponent(String(value)),
              );
            } else if (param.in === 'query') {
              queryParams[param.name] = value;
            } else if (param.in === 'header') {
              headers[param.name.toLowerCase()] = String(value);
            }
          }
        });
    
        // Ensure all path parameters are resolved
        if (urlPath.includes('{')) {
          throw new Error(`Failed to resolve path parameters: ${urlPath}`);
        }
    
        // Construct the full URL
        const requestUrl = `${definition.baseUrl}${urlPath}`;
    
        // Handle request body if needed
        if (
          definition.requestBodyContentType &&
          typeof validatedArgs['requestBody'] !== 'undefined'
        ) {
          requestBodyData = validatedArgs['requestBody'];
          headers['content-type'] = definition.requestBodyContentType;
        }
    
        // Apply security requirements if available
        // Security requirements use OR between array items and AND within each object
        const appliedSecurity = definition.securityRequirements?.find((req) => {
          // Try each security requirement (combined with OR)
          return Object.entries(req).every(([schemeName, scopesArray]) => {
            const scheme = allSecuritySchemes[schemeName];
            if (!scheme) return false;
    
            // API Key security (header, query, cookie)
            if (scheme.type === 'apiKey') {
              return !!token || !!Config.MORALIS_API_KEY;
            }
    
            return false;
          });
        });
    
        // If we found matching security scheme(s), apply them
        if (appliedSecurity) {
          // Apply each security scheme from this requirement (combined with AND)
          for (const [schemeName, scopesArray] of Object.entries(appliedSecurity)) {
            const scheme = allSecuritySchemes[schemeName];
    
            // API Key security
            if (scheme?.type === 'apiKey') {
              const apiKey = token || Config.MORALIS_API_KEY;
              if (apiKey) {
                if (scheme.in === 'header') {
                  headers[scheme.name.toLowerCase()] = apiKey;
                  console.error(
                    `Applied API key '${schemeName}' in header '${scheme.name}'`,
                  );
                }
              }
            }
          }
        }
        // Log warning if security is required but not available
        else if (definition.securityRequirements?.length > 0) {
          // First generate a more readable representation of the security requirements
          const securityRequirementsString = definition.securityRequirements
            .map((req) => {
              const parts = Object.entries(req)
                .map(([name, scopesArray]) => {
                  const scopes = scopesArray as string[];
                  if (scopes.length === 0) return name;
                  return `${name} (scopes: ${scopes.join(', ')})`;
                })
                .join(' AND ');
              return `[${parts}]`;
            })
            .join(' OR ');
    
          console.warn(
            `Tool '${toolName}' requires security: ${securityRequirementsString}, but no suitable credentials found.`,
          );
        }
    
        // Prepare the axios request configuration
        const config: AxiosRequestConfig = {
          method: definition.method.toUpperCase(),
          url: requestUrl,
          params: queryParams,
          headers: headers,
          ...(requestBodyData !== undefined && { data: requestBodyData }),
        };
    
        // Log request info to stderr (doesn't affect MCP output)
        console.error(
          `Executing tool "${toolName}": ${config.method} ${config.url}`,
        );
    
        // Execute the request
        const response = await axios(config);
    
        // Process and format the response
        let responseText = '';
        const contentType = response.headers['content-type']?.toLowerCase() || '';
    
        // Handle JSON responses
        if (
          contentType.includes('application/json') &&
          typeof response.data === 'object' &&
          response.data !== null
        ) {
          try {
            responseText = JSON.stringify(response.data, null, 2);
          } catch (e) {
            responseText = '[Stringify Error]';
          }
        }
        // Handle string responses
        else if (typeof response.data === 'string') {
          responseText = response.data;
        }
        // Handle other response types
        else if (response.data !== undefined && response.data !== null) {
          responseText = String(response.data);
        }
        // Handle empty responses
        else {
          responseText = `(Status: ${response.status} - No body content)`;
        }
    
        // Return formatted response
        return {
          content: [
            {
              type: 'text',
              text: `API Response (Status: ${response.status}):\n${responseText}`,
            },
          ],
        };
      } catch (error: unknown) {
        // Handle errors during execution
        let errorMessage: string;
    
        // Format Axios errors specially
        if (axios.isAxiosError(error)) {
          errorMessage = formatApiError(error);
        }
        // Handle standard errors
        else if (error instanceof Error) {
          errorMessage = error.message;
        }
        // Handle unexpected error types
        else {
          errorMessage = `Unexpected error: ${String(error)}`;
        }
    
        // Log error to stderr
        console.error(
          `Error during execution of tool '${toolName}':`,
          errorMessage,
        );
    
        // Return error message to client
        return { content: [{ type: 'text', text: errorMessage }] };
      }
    }
  • Generates the input schema for the tool from the OpenAPI operation parameters and requestBody, used for 'evm_getpaircandlesticks' schema.
    export function generateInputSchemaAndDetails(
      operation: OpenAPIV3.OperationObject,
    ): {
      inputSchema: JSONSchema7 | boolean;
      parameters: OpenAPIV3.ParameterObject[];
      requestBodyContentType?: string;
    } {
      const properties: { [key: string]: JSONSchema7 | boolean } = {};
      const required: string[] = [];
    
      // Process parameters
      const allParameters: OpenAPIV3.ParameterObject[] = Array.isArray(
        operation.parameters,
      )
        ? operation.parameters.map((p) => p as OpenAPIV3.ParameterObject)
        : [];
    
      allParameters.forEach((param) => {
        if (!param.name || !param.schema) return;
    
        const paramSchema = mapOpenApiSchemaToJsonSchema(
          param.schema as OpenAPIV3.SchemaObject,
        );
        if (typeof paramSchema === 'object') {
          paramSchema.description = param.description || paramSchema.description;
        }
    
        properties[param.name] = paramSchema;
        if (param.required) required.push(param.name);
      });
    
      // Process request body (if present)
      let requestBodyContentType: string | undefined = undefined;
    
      if (operation.requestBody) {
        const opRequestBody = operation.requestBody as OpenAPIV3.RequestBodyObject;
        const jsonContent = opRequestBody.content?.['application/json'];
        const firstContent = opRequestBody.content
          ? Object.entries(opRequestBody.content)[0]
          : undefined;
    
        if (jsonContent?.schema) {
          requestBodyContentType = 'application/json';
          const bodySchema = mapOpenApiSchemaToJsonSchema(
            jsonContent.schema as OpenAPIV3.SchemaObject,
          );
    
          if (typeof bodySchema === 'object') {
            bodySchema.description =
              opRequestBody.description ||
              bodySchema.description ||
              'The JSON request body.';
          }
    
          properties['requestBody'] = bodySchema;
          if (opRequestBody.required) required.push('requestBody');
        } else if (firstContent) {
          const [contentType] = firstContent;
          requestBodyContentType = contentType;
    
          properties['requestBody'] = {
            type: 'string',
            description:
              opRequestBody.description ||
              `Request body (content type: ${contentType})`,
          };
    
          if (opRequestBody.required) required.push('requestBody');
        }
      }
    
      // Combine everything into a JSON Schema
      const inputSchema: JSONSchema7 = {
        type: 'object',
        properties,
        ...(required.length > 0 && { required }),
      };
    
      return { inputSchema, parameters: allParameters, requestBodyContentType };
    }
  • src/server.ts:97-120 (registration)
    Registers the generic CallTool handler that dispatches to executeApiTool for the named tool 'evm_getpaircandlesticks' using its definition from the map.
      CallToolRequestSchema,
      async (request: CallToolRequest, c): Promise<CallToolResult> => {
        const { name: toolName, arguments: toolArgs } = request.params;
        const toolDefinition = toolDefinitionMap[toolName];
        if (!toolDefinition) {
          console.error(`Error: Unknown tool requested: ${toolName}`);
          return {
            content: [
              {
                type: 'text',
                text: `Error: Unknown tool requested: ${toolName}`,
              },
            ],
          };
        }
        return executeApiTool(
          toolName,
          toolDefinition,
          toolArgs ?? {},
          securitySchemes,
          c.authInfo?.token,
        );
      },
    );
  • Extracts tool definitions including name, inputSchema, pathTemplate etc. from OpenAPI spec. Constructs 'evm_getpaircandlesticks' name using 'evm_' prefix + sanitized operationId.
    export function extractToolsFromApi(
      api: OpenAPIV3DocumentX,
      prefix?: string
    ): McpToolDefinition[] {
      const tools: McpToolDefinition[] = [];
      const usedNames = new Set<string>();
      const globalSecurity = api.security || [];
    
      if (!api.paths) return tools;
    
      for (const [path, pathItem] of Object.entries(api.paths)) {
        if (!pathItem) continue;
    
        for (const method of Object.values(OpenAPIV3.HttpMethods)) {
          const operation = pathItem[method];
          if (!operation) continue;
    
          // Generate a unique name for the tool
          let baseName = operation.operationId || generateOperationId(method, path);
          if (!baseName) continue;
    
          // Sanitize the name to be MCP-compatible (only a-z, 0-9, _, -)
          baseName = baseName
            .replace(/\./g, '_')
            .replace(/[^a-z0-9_-]/gi, '_')
            .toLowerCase();
    
          let finalToolName = baseName;
          let counter = 1;
          while (usedNames.has(finalToolName)) {
            finalToolName = `${baseName}_${counter++}`;
          }
          usedNames.add(finalToolName);
    
          // Get or create a description
          const description =
            operation.description ||
            operation.summary ||
            `Executes ${method.toUpperCase()} ${path}`;
    
          const prompt = operation['x-mcp-prompt'];
    
          // Generate input schema and extract parameters
          const { inputSchema, parameters, requestBodyContentType } =
            generateInputSchemaAndDetails(operation);
    
          // Extract parameter details for execution
          const executionParameters = parameters.map((p) => ({
            name: p.name,
            in: p.in,
          }));
    
          // Determine security requirements
          const securityRequirements =
            operation.security === null
              ? globalSecurity
              : operation.security || globalSecurity;
    
          // Create the tool definition
          tools.push({
            name: prefix + finalToolName,
            description,
            inputSchema,
            method,
            pathTemplate: path,
            parameters,
            executionParameters,
            requestBodyContentType,
            securityRequirements,
            operationId: baseName,
            prompt,
          });
        }
      }
    
      return tools;
    }
  • src/server.ts:26-44 (registration)
    Populates the toolDefinitionMap by fetching EVM spec, extracting tools with 'evm_' prefix, including 'evm_getpaircandlesticks', and mapping for registration.
    async function mapToolDefinitions(config: SchemaConfig) {
      const spec = (await getSpec(config.specUrl)) as OpenAPIV3DocumentX;
      const api = (await SwaggerParser.dereference(spec)) as OpenAPIV3DocumentX;
    
      const tools = extractToolsFromApi(api, config.prefix);
      const blacklist = Array.isArray(api['x-mcp-blacklist'])
        ? api['x-mcp-blacklist'].map((e) => `${config.prefix}${e.toLowerCase()}`)
        : [];
    
      const toolDefinitionMap: Record<string, McpToolDefinition> = {};
      for (const tool of tools) {
        if (blacklist.includes(tool.name)) continue;
        toolDefinitionMap[tool.name] = {
          ...tool,
          baseUrl: config.baseUrl,
        };
      }
      return toolDefinitionMap;
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what data is retrieved without mentioning critical behaviors like rate limits, authentication needs, pagination details (implied by 'cursor' parameter but not explained), error handling, or data freshness. This is a significant gap for a tool with 8 parameters and no output schema.

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

Conciseness5/5

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

The description is a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It is appropriately sized and front-loaded, making it easy to understand at a glance, which earns a high score for conciseness.

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

Completeness2/5

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

Given the complexity (8 parameters, 5 required, no annotations, no output schema), the description is incomplete. It lacks details on behavioral traits, output format, error cases, and usage context. While the schema covers parameters well, the description does not address other critical aspects needed for effective tool invocation, making it inadequate for the tool's scope.

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?

The schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond implying OHLCV data retrieval, which is redundant with the schema's details. According to the rules, baseline is 3 when schema coverage is high (>80%), and the description does not compensate with extra insights.

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

Purpose4/5

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

The description clearly states the verb ('Retrieve') and resource ('OHLCV candlestick data for a token pair'), making the purpose specific and understandable. However, it does not explicitly differentiate this tool from sibling tools like 'solana_getcandlesticks' or 'evm_gettimeseriestokenanalytics', which might also retrieve time-series data, so it falls short of a perfect score.

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, such as other candlestick-related tools in the sibling list (e.g., 'solana_getcandlesticks' for Solana or 'evm_gettimeseriestokenanalytics' for broader analytics). There is no mention of prerequisites, exclusions, or specific contexts, leaving usage unclear.

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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