Skip to main content
Glama
ampcome-mcps

CircleCI MCP Server

by ampcome-mcps

run_pipeline

Trigger a new CircleCI pipeline and get a URL to monitor its progress using project slug, direct URL, or workspace detection.

Instructions

This tool triggers a new CircleCI pipeline and returns the URL to monitor its progress.

Input options (EXACTLY ONE of these THREE options must be used):

Option 1 - Project Slug and branch (BOTH required):
- projectSlug: The project slug obtained from listFollowedProjects tool (e.g., "gh/organization/project")
- branch: The name of the branch (required when using projectSlug)

Option 2 - Direct URL (provide ONE of these):
- projectURL: The URL of the CircleCI project in any of these formats:
  * Project URL with branch: https://app.circleci.com/pipelines/gh/organization/project?branch=feature-branch
  * Pipeline URL: https://app.circleci.com/pipelines/gh/organization/project/123
  * Workflow URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def
  * Job URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def/jobs/xyz

Option 3 - Project Detection (ALL of these must be provided together):
- workspaceRoot: The absolute path to the workspace root
- gitRemoteURL: The URL of the git remote repository
- branch: The name of the current branch

Configuration:
- an optional configContent parameter can be provided to override the default pipeline configuration

Pipeline Selection:
- If the project has multiple pipeline definitions, the tool will return a list of available pipelines
- You must then make another call with the chosen pipeline name using the pipelineChoiceName parameter
- The pipelineChoiceName must exactly match one of the pipeline names returned by the tool
- If the project has only one pipeline definition, pipelineChoiceName is not needed

Additional Requirements:
- Never call this tool with incomplete parameters
- If using Option 1, make sure to extract the projectSlug exactly as provided by listFollowedProjects
- If using Option 2, the URLs MUST be provided by the user - do not attempt to construct or guess URLs
- If using Option 3, ALL THREE parameters (workspaceRoot, gitRemoteURL, branch) must be provided
- If none of the options can be fully satisfied, ask the user for the missing information before making the tool call

Returns:
- A URL to the newly triggered pipeline that can be used to monitor its progress

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo

Implementation Reference

  • The main execution logic for the 'run_pipeline' MCP tool. This async function processes inputs to identify project slug and branch, fetches pipeline definitions, handles selection if multiple, and triggers the pipeline via CircleCI client, returning the pipeline URL.
    export const runPipeline: ToolCallback<{
      params: typeof runPipelineInputSchema;
    }> = async (args) => {
      const {
        workspaceRoot,
        gitRemoteURL,
        branch,
        configContent,
        projectURL,
        pipelineChoiceName,
        projectSlug: inputProjectSlug,
      } = args.params;
    
      let projectSlug: string | undefined;
      let branchFromURL: string | undefined;
      const baseURL = getAppURL();
      if (inputProjectSlug) {
        if (!branch) {
          return mcpErrorOutput(
            'Branch not provided. When using projectSlug, a branch must also be specified.',
          );
        }
        projectSlug = inputProjectSlug;
      } else if (projectURL) {
        projectSlug = getProjectSlugFromURL(projectURL);
        branchFromURL = getBranchFromURL(projectURL);
      } else if (workspaceRoot && gitRemoteURL && branch) {
        projectSlug = await identifyProjectSlug({
          gitRemoteURL,
        });
      } else {
        return mcpErrorOutput(
          'Missing required inputs. Please provide either: 1) projectSlug with branch, 2) projectURL, or 3) workspaceRoot with gitRemoteURL and branch.',
        );
      }
    
      if (!projectSlug) {
        return mcpErrorOutput(`
              Project not found. Ask the user to provide the inputs user can provide based on the tool description.
    
              Project slug: ${projectSlug}
              Git remote URL: ${gitRemoteURL}
              Branch: ${branch}
              `);
      }
      const foundBranch = branchFromURL || branch;
      if (!foundBranch) {
        return mcpErrorOutput(
          'No branch provided. Ask the user to provide the branch.',
        );
      }
    
      const circleci = getCircleCIClient();
      const { id: projectId } = await circleci.projects.getProject({
        projectSlug,
      });
      const pipelineDefinitions = await circleci.pipelines.getPipelineDefinitions({
        projectId,
      });
    
      const pipelineChoices = [
        ...pipelineDefinitions.map((definition) => ({
          name: definition.name,
          definitionId: definition.id,
        })),
      ];
    
      if (pipelineChoices.length === 0) {
        return mcpErrorOutput(
          'No pipeline definitions found. Please make sure your project is set up on CircleCI to run pipelines.',
        );
      }
    
      const formattedPipelineChoices = pipelineChoices
        .map(
          (pipeline, index) =>
            `${index + 1}. ${pipeline.name} (definitionId: ${pipeline.definitionId})`,
        )
        .join('\n');
    
      if (pipelineChoices.length > 1 && !pipelineChoiceName) {
        return {
          content: [
            {
              type: 'text',
              text: `Multiple pipeline definitions found. Please choose one of the following:\n${formattedPipelineChoices}`,
            },
          ],
        };
      }
    
      const chosenPipeline = pipelineChoiceName
        ? pipelineChoices.find((pipeline) => pipeline.name === pipelineChoiceName)
        : undefined;
    
      if (pipelineChoiceName && !chosenPipeline) {
        return mcpErrorOutput(
          `Pipeline definition with name ${pipelineChoiceName} not found. Please choose one of the following:\n${formattedPipelineChoices}`,
        );
      }
    
      const runPipelineDefinitionId =
        chosenPipeline?.definitionId || pipelineChoices[0].definitionId;
    
      const runPipelineResponse = await circleci.pipelines.runPipeline({
        projectSlug,
        branch: foundBranch,
        definitionId: runPipelineDefinitionId,
        configContent,
      });
    
      return {
        content: [
          {
            type: 'text',
            text: `Pipeline run successfully. View it at: ${baseURL}/pipelines/${projectSlug}/${runPipelineResponse.number}`,
          },
        ],
      };
    };
  • Zod input schema definition for the 'run_pipeline' tool, defining optional parameters like projectSlug, branch, workspaceRoot, gitRemoteURL, projectURL, pipelineChoiceName, and configContent with descriptions.
    export const runPipelineInputSchema = z.object({
      projectSlug: z.string().describe(projectSlugDescription).optional(),
      branch: z.string().describe(branchDescription).optional(),
      workspaceRoot: z
        .string()
        .describe(
          'The absolute path to the root directory of your project workspace. ' +
            'This should be the top-level folder containing your source code, configuration files, and dependencies. ' +
            'For example: "/home/user/my-project" or "C:\\Users\\user\\my-project"',
        )
        .optional(),
      gitRemoteURL: z
        .string()
        .describe(
          'The URL of the remote git repository. This should be the URL of the repository that you cloned to your local workspace. ' +
            'For example: "https://github.com/user/my-project.git"',
        )
        .optional(),
      projectURL: z
        .string()
        .describe(
          'The URL of the CircleCI project. Can be any of these formats:\n' +
            '- Project URL with branch: https://app.circleci.com/pipelines/gh/organization/project?branch=feature-branch\n' +
            '- Pipeline URL: https://app.circleci.com/pipelines/gh/organization/project/123\n' +
            '- Workflow URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def\n' +
            '- Job URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def/jobs/xyz',
        )
        .optional(),
      pipelineChoiceName: z
        .string()
        .describe(
          'The name of the pipeline to run. This parameter is only needed if the project has multiple pipeline definitions. ' +
            'If not provided and multiple pipelines exist, the tool will return a list of available pipelines for the user to choose from. ' +
            'If provided, it must exactly match one of the pipeline names returned by the tool.',
        )
        .optional(),
      configContent: z
        .string()
        .describe(
          'The content of the CircleCI YAML configuration file for the pipeline.',
        )
        .optional(),
    });
  • Tool registration object 'runPipelineTool' defining the name 'run_pipeline', detailed description of usage options and requirements, and references the inputSchema.
    export const runPipelineTool = {
      name: 'run_pipeline' as const,
      description: `
        This tool triggers a new CircleCI pipeline and returns the URL to monitor its progress.
    
        Input options (EXACTLY ONE of these THREE options must be used):
    
        ${option1DescriptionBranchRequired}
    
        Option 2 - Direct URL (provide ONE of these):
        - projectURL: The URL of the CircleCI project in any of these formats:
          * Project URL with branch: https://app.circleci.com/pipelines/gh/organization/project?branch=feature-branch
          * Pipeline URL: https://app.circleci.com/pipelines/gh/organization/project/123
          * Workflow URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def
          * Job URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def/jobs/xyz
    
        Option 3 - Project Detection (ALL of these must be provided together):
        - workspaceRoot: The absolute path to the workspace root
        - gitRemoteURL: The URL of the git remote repository
        - branch: The name of the current branch
    
        Configuration:
        - an optional configContent parameter can be provided to override the default pipeline configuration
    
        Pipeline Selection:
        - If the project has multiple pipeline definitions, the tool will return a list of available pipelines
        - You must then make another call with the chosen pipeline name using the pipelineChoiceName parameter
        - The pipelineChoiceName must exactly match one of the pipeline names returned by the tool
        - If the project has only one pipeline definition, pipelineChoiceName is not needed
    
        Additional Requirements:
        - Never call this tool with incomplete parameters
        - If using Option 1, make sure to extract the projectSlug exactly as provided by listFollowedProjects
        - If using Option 2, the URLs MUST be provided by the user - do not attempt to construct or guess URLs
        - If using Option 3, ALL THREE parameters (workspaceRoot, gitRemoteURL, branch) must be provided
        - If none of the options can be fully satisfied, ask the user for the missing information before making the tool call
    
        Returns:
        - A URL to the newly triggered pipeline that can be used to monitor its progress
        `,
      inputSchema: runPipelineInputSchema,
    };
  • Top-level registration of all CircleCI tools, including 'run_pipeline' handler mapping in CCI_HANDLERS (line 66) and inclusion of runPipelineTool in CCI_TOOLS array (line 38).
    export const CCI_HANDLERS = {
      get_build_failure_logs: getBuildFailureLogs,
      find_flaky_tests: getFlakyTestLogs,
      get_latest_pipeline_status: getLatestPipelineStatus,
      get_job_test_results: getJobTestResults,
      config_helper: configHelper,
      create_prompt_template: createPromptTemplate,
      recommend_prompt_template_tests: recommendPromptTemplateTests,
      run_pipeline: runPipeline,
      list_followed_projects: listFollowedProjects,
      run_evaluation_tests: runEvaluationTests,
      rerun_workflow: rerunWorkflow,
      analyze_diff: analyzeDiff,
      run_rollback_pipeline: runRollbackPipeline,
    } satisfies ToolHandlers;
  • Response schema RunPipelineResponseSchema for the runPipeline operation, exported as type.
    const RunPipelineResponseSchema = z.object({
      number: z.number(),
    });
    
    const RollbackProjectRequestSchema = z.object({
      component_name: z.string().describe('The component name'),
      current_version: z.string().describe('The current version'),
      environment_name: z.string().describe('The environment name'),
      namespace: z.string().describe('The namespace').optional(),
      parameters: z.record(z.any()).describe('The extra parameters for the rollback pipeline').optional(),
      reason: z.string().describe('The reason for the rollback').optional(),
      target_version: z.string().describe('The target version'),
    });
    
    const RollbackProjectResponseSchema = z.object({
      id: z.string().describe('The ID of the rollback pipeline or the command created to handle the rollback'),
      rollback_type: z.string().describe('The type of the rollback'),
    });
    
    const DeploySettingsResponseSchema = z.object({
      create_autogenerated_releases: z.boolean().optional().describe('Whether to create autogenerated releases'),
      rollback_pipeline_definition_id: z.string().optional().describe('The rollback pipeline definition ID, if configured for this project'),
    }).passthrough(); // Allow additional properties we might not know about
    
    const DeployComponentsResponseSchema = z.object({
      items: z.array(z.object({
        id: z.string(),
        project_id: z.string(),
        name: z.string(),
        release_count: z.number(),
        labels: z.array(z.string()),
        created_at: z.string(),
        updated_at: z.string(),
      })),
      next_page_token: z.string().nullable(),
    });
    
    const DeployComponentVersionsResponseSchema = z.object({
      items: z.array(z.object({
        name: z.string(),
        namespace: z.string(),
        environment_id: z.string(),
        is_live: z.boolean(),
        pipeline_id: z.string(),
        workflow_id: z.string(),
        job_id: z.string(),
        job_number: z.number(),
        last_deployed_at: z.string(),
      })),
      next_page_token: z.string().nullable(),
    });
    
    export const DeployEnvironmentResponseSchema = z.object({
      items: z.array(z.object({
      id: z.string(),
      name: z.string(),
      created_at: z.string(),
      updated_at: z.string(),
      labels: z.array(z.string()),
      })),
      next_page_token: z.string().nullable(),
    });
    
    const ProjectSchema = z.object({
      id: z.string(),
      organization_id: z.string(),
    });
    
    const PipelineDefinitionSchema = z.object({
      id: z.string(),
      name: z.string(),
    });
    
    const PipelineDefinitionsResponseSchema = z.object({
      items: z.array(PipelineDefinitionSchema),
    });
    
    export const PipelineDefinition = PipelineDefinitionSchema;
    export type PipelineDefinition = z.infer<typeof PipelineDefinitionSchema>;
    
    export const PipelineDefinitionsResponse = PipelineDefinitionsResponseSchema;
    export type PipelineDefinitionsResponse = z.infer<
      typeof PipelineDefinitionsResponseSchema
    >;
    
    export const Test = TestSchema;
    export type Test = z.infer<typeof TestSchema>;
    
    export const PaginatedTestResponse = PaginatedTestResponseSchema;
    export type PaginatedTestResponse = z.infer<typeof PaginatedTestResponseSchema>;
    
    export const FlakyTest = FlakyTestSchema;
    export type FlakyTest = z.infer<typeof FlakyTestSchema>;
    
    export const ConfigValidate = ConfigValidateSchema;
    export type ConfigValidate = z.infer<typeof ConfigValidateSchema>;
    
    // Export the schemas and inferred types with the same names as the original types
    export const Pipeline = PipelineSchema;
    export type Pipeline = z.infer<typeof PipelineSchema>;
    
    export const RunPipelineResponse = RunPipelineResponseSchema;
    export type RunPipelineResponse = z.infer<typeof RunPipelineResponseSchema>;
Behavior4/5

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. It effectively describes key behaviors: the tool triggers a new pipeline (implies mutation), returns a monitoring URL, handles multiple pipeline definitions with a selection process, and has specific parameter requirements. It doesn't mention authentication needs, rate limits, or error handling, but covers the core operational behavior well.

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 well-structured with clear sections (Input options, Configuration, Pipeline Selection, Additional Requirements, Returns) and uses bullet points effectively. While comprehensive, it's appropriately sized for a complex tool with multiple usage patterns. Some sentences in the 'Additional Requirements' section could be more concise, but overall the structure supports readability.

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

Completeness4/5

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

Given the tool's complexity (multiple parameter options, conditional logic, no annotations, no output schema), the description provides substantial context. It explains the return value (monitoring URL), documents the pipeline selection workflow, and provides usage constraints. It doesn't cover error cases or response formats in detail, but addresses the core functionality adequately for the complexity level.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by providing comprehensive parameter semantics. It explains the three distinct usage options with detailed examples, clarifies mutual exclusivity requirements, documents the pipeline selection logic, and provides concrete formatting examples for URLs and paths. This adds substantial value beyond what the bare schema provides.

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

Purpose5/5

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

The description clearly states the specific action ('triggers a new CircleCI pipeline') and the resource ('CircleCI pipeline'), distinguishing it from siblings like 'get_latest_pipeline_status' (monitoring) or 'rerun_workflow' (re-running). The opening sentence provides a complete, unambiguous purpose statement.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool versus alternatives through detailed parameter requirements and constraints. It specifies that 'EXACTLY ONE of these THREE options must be used' and includes specific rules for each option, plus guidance on pipeline selection scenarios. The 'Additional Requirements' section further clarifies usage boundaries.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ampcome-mcps/circleci-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server