Skip to main content
Glama
Hug0x0

mcp-reunion

reunion_search_health_professionals

Search for registered health professionals in La Réunion by profession, commune, or postal code. Returns name, address, phone, and practice details from the CNAM directory.

Instructions

Search the CNAM Annuaire Santé directory of registered health professionals practicing in La Réunion. Returns name, profession, full address, postal code, phone, mode of practice, convention status (secteur 1/2), and SESAM-Vitale acceptance. Source: CNAM via data.regionreunion.com. Use this to find doctors, nurses, dentists, pharmacists, midwives, etc. by profession or location. For posted fees per act in La Possession specifically, use reunion_search_possession_health_pros.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
professionNoProfession label, prefix match. Examples: "Médecin", "Médecin généraliste", "Chirurgien-dentiste", "Infirmier", "Masseur-Kinésithérapeute", "Sage-femme", "Pharmacien"
communeNoCommune name to match against the address (substring search). Example: "Saint-Denis", "Saint-Pierre"
postal_codeNoRéunion postal code (exact match), e.g. "97400" for Saint-Denis, "97410" for Saint-Pierre
limitNoMax results to return (1-200, default 50)

Implementation Reference

  • The tool is registered via registerAllTools() which calls registerHealthTools(server) at line 44, registering all health tools including 'reunion_search_health_professionals'.
    export function registerAllTools(server: McpServer): void {
      registerAdministrationTools(server);
      registerCatalogTools(server);
      registerCommuneTools(server);
      registerCultureTools(server);
      registerEconomyTools(server);
      registerEducationTools(server);
      registerEmploymentTools(server);
      registerEnvironmentTools(server);
      registerFacilityTools(server);
      registerGeographyTools(server);
      registerHealthTools(server);
      registerHospitalityTools(server);
      registerHousingTools(server);
      registerNationalElectionsTools(server);
      registerPossessionTools(server);
      registerSocialTools(server);
      registerTelecomTools(server);
      registerTerritoryTools(server);
      registerTourismTools(server);
      registerTransportTools(server);
      registerUrbanismTools(server);
      registerWeatherTools(server);
    }
  • The main implementation: registerHealthTools registers the 'reunion_search_health_professionals' tool with schema (profession, commune, postal_code, limit) and handler that queries the CNAM Annuaire Santé dataset via data.regionreunion.com API.
    export function registerHealthTools(server: McpServer): void {
      server.tool(
        'reunion_search_health_professionals',
        'Search the CNAM Annuaire Santé directory of registered health professionals practicing in La Réunion. Returns name, profession, full address, postal code, phone, mode of practice, convention status (secteur 1/2), and SESAM-Vitale acceptance. Source: CNAM via data.regionreunion.com. Use this to find doctors, nurses, dentists, pharmacists, midwives, etc. by profession or location. For posted fees per act in La Possession specifically, use reunion_search_possession_health_pros.',
        {
          profession: z.string().optional().describe('Profession label, prefix match. Examples: "Médecin", "Médecin généraliste", "Chirurgien-dentiste", "Infirmier", "Masseur-Kinésithérapeute", "Sage-femme", "Pharmacien"'),
          commune: z.string().optional().describe('Commune name to match against the address (substring search). Example: "Saint-Denis", "Saint-Pierre"'),
          postal_code: z.string().optional().describe('Réunion postal code (exact match), e.g. "97400" for Saint-Denis, "97410" for Saint-Pierre'),
          limit: z.number().int().min(1).max(200).default(50).describe('Max results to return (1-200, default 50)'),
        },
        async ({ profession, commune, postal_code, limit }) => {
          try {
            const data = await client.getRecords<RecordObject>(DATASET_HEALTH_PROS, {
              where: buildWhere([
                `reg_name = ${quote('La Réunion')}`,
                profession ? `libelle_profession LIKE ${quote(`${profession}%`)}` : undefined,
                commune ? `search(${quote(commune)})` : undefined,
                postal_code ? `code_postal = ${quote(postal_code)}` : undefined,
              ]),
              limit,
            });
            return jsonResult({
              total_professionals: data.total_count,
              professionals: data.results.map((row) => ({
                name: pickString(row, ['nom']),
                title: pickString(row, ['civilite']),
                profession: pickString(row, ['libelle_profession']),
                address: [pickString(row, ['adresse3']), pickString(row, ['adresse4'])]
                  .filter(Boolean)
                  .join(' '),
                postal_code: pickString(row, ['code_postal']),
                phone: pickString(row, ['telephone']),
                practice: pickString(row, ['exercice_particulier']),
                nature: pickString(row, ['nature_exercice']),
                convention: pickString(row, ['convention']),
                sesam_vitale: pickString(row, ['sesam_vitale']),
              })),
            });
          } catch (error) {
            return errorResult(error instanceof Error ? error.message : 'Failed to search health professionals');
          }
        }
      );
  • Zod schema definitions for the tool's input parameters: profession (optional string), commune (optional string), postal_code (optional string), limit (number, 1-200, default 50).
    {
      profession: z.string().optional().describe('Profession label, prefix match. Examples: "Médecin", "Médecin généraliste", "Chirurgien-dentiste", "Infirmier", "Masseur-Kinésithérapeute", "Sage-femme", "Pharmacien"'),
      commune: z.string().optional().describe('Commune name to match against the address (substring search). Example: "Saint-Denis", "Saint-Pierre"'),
      postal_code: z.string().optional().describe('Réunion postal code (exact match), e.g. "97400" for Saint-Denis, "97410" for Saint-Pierre'),
      limit: z.number().int().min(1).max(200).default(50).describe('Max results to return (1-200, default 50)'),
    },
  • ReunionClient class used by the handler to fetch records from the OpenDataSoft API (data.regionreunion.com). The handler calls client.getRecords(DATASET_HEALTH_PROS, ...) at line 28.
    export class ReunionClient {
      private readonly baseUrl = 'https://data.regionreunion.com/api/explore/v2.1/';
      private readonly timeout = 30000;
      private readonly maxRetries = 2;
      private readonly metadataCache = new Map<string, Promise<DatasetMetadata | undefined>>();
      private readonly recordsCache = new Map<string, { value: unknown; expiresAt: number }>();
    
      /**
       * Fetch records from a dataset
       */
      async getRecords<T extends RecordObject = RecordObject>(
        datasetId: string,
        params: ODSQueryParams = {}
      ): Promise<ODSResponse<T>> {
        const url = this.buildUrl(`/catalog/datasets/${datasetId}/records`, params);
    
        if (REFERENTIAL_DATASETS.has(datasetId)) {
          const now = Date.now();
          const cached = this.recordsCache.get(url);
          if (cached && cached.expiresAt > now) {
            return cached.value as ODSResponse<T>;
          }
          const value = await this.fetchJson<ODSResponse<T>>(url);
          this.recordsCache.set(url, { value, expiresAt: now + REFERENTIAL_TTL_MS });
          return value;
        }
    
        return this.fetchJson<ODSResponse<T>>(url);
      }
    
      /**
       * Clear the in-memory caches. Intended for tests.
       */
      clearCaches(): void {
        this.metadataCache.clear();
        this.recordsCache.clear();
      }
    
      /**
       * Fetch aggregated data from a dataset
       */
      async getAggregates<T extends RecordObject = RecordObject>(
        datasetId: string,
        select: string,
        options: {
          where?: string;
          groupBy?: string;
          orderBy?: string;
          limit?: number;
        } = {}
      ): Promise<ODSResponse<T>> {
        const params: Record<string, string | number | undefined> = { select };
        if (options.where) params.where = options.where;
        if (options.groupBy) params.group_by = options.groupBy;
        if (options.orderBy) params.order_by = options.orderBy;
        if (options.limit !== undefined) params.limit = options.limit;
    
        const url = this.buildUrl(`/catalog/datasets/${datasetId}/aggregates`, params);
        return this.fetchJson<ODSResponse<T>>(url);
      }
    
      /**
       * Search across all datasets
       */
      async searchDatasets(query: string): Promise<CatalogResponse> {
        const url = this.buildUrl('/catalog/datasets', {
          where: `search(${quote(query)})`,
          limit: 20,
        });
        return this.fetchJson<CatalogResponse>(url);
      }
    
      /**
       * List datasets with an optional raw ODSQL where clause.
       */
      async listDatasets(
        options: { where?: string; limit?: number; offset?: number } = {}
      ): Promise<CatalogResponse> {
        const url = this.buildUrl('/catalog/datasets', {
          where: options.where,
          limit: options.limit ?? 20,
          offset: options.offset,
        });
        return this.fetchJson<CatalogResponse>(url);
      }
    
      /**
       * Fetch dataset metadata from the catalog
       */
      async getDatasetMetadata(datasetId: string): Promise<DatasetMetadata | undefined> {
        if (!this.metadataCache.has(datasetId)) {
          const promise = this.fetchJson<CatalogResponse>(
            this.buildUrl('/catalog/datasets', {
              where: `dataset_id = ${quote(datasetId)}`,
              limit: 1,
            })
          ).then((data) => data.results[0]);
    
          this.metadataCache.set(datasetId, promise);
        }
    
        return this.metadataCache.get(datasetId);
      }
    
      /**
       * Check whether a dataset currently exists in the public catalog
       */
      async datasetExists(datasetId: string): Promise<boolean> {
        return Boolean(await this.getDatasetMetadata(datasetId));
      }
    
      /**
       * Resolve the first matching field name for a dataset
       */
      async resolveField(
        datasetId: string,
        candidates: string[]
      ): Promise<string | undefined> {
        const metadata = await this.getDatasetMetadata(datasetId);
        const fields = metadata?.fields ?? [];
    
        if (fields.length === 0) {
          return candidates[0];
        }
    
        const byNormalizedName = new Map(
          fields.map((field) => [normalizeText(field.name), field.name] as const)
        );
    
        for (const candidate of candidates) {
          const direct = byNormalizedName.get(normalizeText(candidate));
          if (direct) {
            return direct;
          }
        }
    
        const fieldNames = fields.map((field) => field.name);
        for (const candidate of candidates) {
          const normalizedCandidate = normalizeText(candidate);
          const partial = fieldNames.find((fieldName) =>
            normalizeText(fieldName).includes(normalizedCandidate)
          );
          if (partial) {
            return partial;
          }
        }
    
        return candidates[0];
      }
    
      /**
       * Build URL with query parameters
       */
      private buildUrl(
        path: string,
        params: Record<string, string | number | undefined>
      ): string {
        const normalizedPath = path.startsWith('/') ? path.slice(1) : path;
        const url = new URL(normalizedPath, this.baseUrl);
    
        for (const [key, value] of Object.entries(params)) {
          if (value !== undefined && value !== null && value !== '') {
            url.searchParams.set(key, String(value));
          }
        }
    
        return url.toString();
      }
    
      /**
       * Execute HTTP request with retries and timeout handling
       */
      private async fetchJson<T>(url: string, remainingRetries = this.maxRetries): Promise<T> {
        const controller = new AbortController();
        const timeoutId = setTimeout(() => controller.abort(), this.timeout);
    
        try {
          const response = await fetch(url, {
            method: 'GET',
            headers: {
              Accept: 'application/json',
              'User-Agent': 'mcp-reunion/1.0',
            },
            signal: controller.signal,
          });
    
          if (!response.ok) {
            const errorText = await response.text();
            if (response.status >= 500 && remainingRetries > 0) {
              await this.delay(250);
              return this.fetchJson<T>(url, remainingRetries - 1);
            }
            throw new Error(
              `API error ${response.status}: ${response.statusText}. ${errorText}`
            );
          }
    
          return (await response.json()) as T;
        } catch (error) {
          if (error instanceof Error) {
            if (error.name === 'AbortError') {
              throw new Error(`Request timeout after ${this.timeout}ms`);
            }
    
            if (remainingRetries > 0 && this.isRetryableError(error)) {
              await this.delay(250);
              return this.fetchJson<T>(url, remainingRetries - 1);
            }
    
            throw error;
          }
          throw new Error('Unknown error occurred');
        } finally {
          clearTimeout(timeoutId);
        }
      }
    
      private isRetryableError(error: Error): boolean {
        return /fetch failed|ECONNRESET|ETIMEDOUT|ENOTFOUND|EAI_AGAIN/i.test(error.message);
      }
    
      private async delay(ms: number): Promise<void> {
        await new Promise((resolve) => setTimeout(resolve, ms));
      }
    }
    
    // Singleton instance
    export const client = new ReunionClient();
  • The buildWhere helper used by the handler to construct the ODSQL WHERE clause from optional filter conditions.
    export function buildWhere(
      conditions: Array<string | undefined | null | false>
    ): string | undefined {
      const valid = conditions.filter((condition): condition is string => Boolean(condition));
      return valid.length > 0 ? valid.join(' AND ') : undefined;
    }
Behavior3/5

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

No annotations provided; description lacks behavioral details such as rate limits, authentication, or pagination behavior, though it describes the source and scope adequately.

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?

Four sentences front-loaded with main purpose, no unnecessary words; structure is clear and efficient.

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

Completeness5/5

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

For a search tool with 4 well-documented parameters and no output schema, the description covers purpose, parameters, and context (source, sibling) completely.

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 coverage is 100%; description adds no new meaning beyond the schema descriptions, only implicitly referencing profession/location filtering.

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?

Clearly states the tool searches the CNAM Annuaire Santé for health professionals in La Réunion, lists return fields, and explicitly distinguishes from the sibling tool reunion_search_possession_health_pros.

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?

Provides explicit when-to-use (find health professionals by profession/location) and when-not-to-use (for posted fees in La Possession, use sibling tool).

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/Hug0x0/mcp-reunion'

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