Skip to main content
Glama

get_team_matches

Retrieve match data for a specific FIRST Robotics Competition team in a given year to analyze performance and track competition history.

Instructions

Get matches played by a team in a specific year

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
team_keyYesTeam key in format frcXXXX (e.g., frc86)
yearYesCompetition year

Implementation Reference

  • The core handler logic for executing the 'get_team_matches' tool. Validates input using Zod schemas (TeamKeySchema, YearSchema), fetches match data from TBA API endpoint `/team/{team_key}/matches/{year}`, parses the array of matches with MatchSchema, and returns formatted JSON in the MCP response.
    case 'get_team_matches': {
      const { team_key, year } = z
        .object({
          team_key: TeamKeySchema,
          year: YearSchema,
        })
        .parse(args);
      const data = await makeApiRequest(`/team/${team_key}/matches/${year}`);
      const matches = z.array(MatchSchema).parse(data);
      return {
        content: [
          {
            type: 'text',
            text: JSON.stringify(matches, null, 2),
          },
        ],
      };
    }
  • MCP tool schema definition including name, description, and input validation schema for team_key (frcXXXX pattern) and year (1992 to current year +1). This defines the tool interface for MCP clients.
      name: 'get_team_matches',
      description: 'Get matches played by a team in a specific year',
      inputSchema: {
        type: 'object',
        properties: {
          team_key: {
            type: 'string',
            description: 'Team key in format frcXXXX (e.g., frc86)',
            pattern: '^frc\\d+$',
          },
          year: {
            type: 'number',
            description: 'Competition year',
            minimum: 1992,
            maximum: new Date().getFullYear() + 1,
          },
        },
        required: ['team_key', 'year'],
      },
    },
  • src/index.ts:45-47 (registration)
    Registers the list of available tools (including get_team_matches) with the MCP server by handling ListToolsRequestSchema and returning the imported tools array.
    server.setRequestHandler(ListToolsRequestSchema, async () => {
      return { tools };
    });
  • src/index.ts:54-54 (registration)
    Routes tool calls to the handleToolCall function (in handlers.ts) which dispatches to specific tool handlers based on name.
    return await handleToolCall(name, args);
  • Zod schema used in the handler to parse and validate the array of match objects returned from the TBA API.
    export const MatchSchema = z.object({
      key: z.string(),
      comp_level: z.string(),
      set_number: z.number(),
      match_number: z.number(),
      alliances: z.object({
        red: z.object({
          score: z.number(),
          team_keys: z.array(z.string()),
          surrogate_team_keys: z.array(z.string()).nullish(),
          dq_team_keys: z.array(z.string()).nullish(),
        }),
        blue: z.object({
          score: z.number(),
          team_keys: z.array(z.string()),
          surrogate_team_keys: z.array(z.string()).nullish(),
          dq_team_keys: z.array(z.string()).nullish(),
        }),
      }),
      winning_alliance: z.string().nullish(),
      event_key: z.string(),
      time: z.number().nullish(),
      actual_time: z.number().nullish(),
      predicted_time: z.number().nullish(),
      post_result_time: z.number().nullish(),
      score_breakdown: z.record(z.string(), z.any()).nullish(),
      videos: z
        .array(
          z.object({
            type: z.string(),
            key: z.string(),
          }),
        )
        .nullish(),
    });

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/withinfocus/tba'

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