# Fodda Topic Research MCP server

Source: https://glimind.com/server/mcp-registry%2Fai.fodda%2Ftopic-research
Registry id: `mcp-registry/ai.fodda/topic-research`
Status: auth-required (checked 2026-10-27T03:30:27.872Z)

## Verdict

Fodda Topic Research MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 127 ms median handshake and 62 outages in 90 days. Its agent-readiness grade is A (94/100) across 15 tools, costing an agent about 5,936 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 127 ms | 83% of MCP servers |
| p95 handshake latency | 513 ms | — |
| Checks in 30 days | 229 | — |
| Outages, 90 days | 62 | — |
| Median recovery | 2 min | — |
| Agent-readiness score | 94/100 (A) | 78% of MCP servers |
| Tools | 15 | — |
| Tool-list size for an agent | ~5,936 tokens | 36% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "fodda-topic-research-mcp-server": {
      "type": "http",
      "url": "https://mcp.fodda.ai/topic-research"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http fodda-topic-research-mcp-server https://mcp.fodda.ai/topic-research
```

## Tools (15)

- `check_supplemental_status`: Check if market data gathering is complete and retrieve the results. Call this after get_supplemental_context — poll every 5-10 seconds until status is COMPLETE
- `generate_visual`: Create a presentation-ready data visualization from research findings. Available chart types: "cultural_shifts" (From→To transitions), "competitive_compass" (br
- `get_capabilities`: Returns Fodda's capabilities, semantic research workflows, Human Agents (Human Agents), and pricing. Call this for any question about what Fodda can do, how exp
- `get_evidence`: Evidence citation lookup: retrieves primary evidence articles, publisher case studies, data points, and source URLs that validate a specific trend node. Prerequ
- `get_label_values`: List unique taxonomy entity values (brands, locations, technologies, audiences) or retrieve the complete table of contents for small, discrete report graphs (<4
- `get_my_account`: Check the current user's account status: API call balance, plan, enabled/disabled graphs, and profile info. Use when the user asks "how many API calls do I have
- `get_neighbors`: Discover what's connected to a specific trend — related brands, technologies, locations, and cross-domain links. Returns curated editorial connections between t
- `get_node`: Get the full profile of a specific trend — detailed description, lifecycle stage (emerging/building/mature), signal strength, geographic scope, and all properti
- `get_supplemental_context`: Federated empirical data layer: queries 110+ live institutional and government feeds (FRED, BLS, US Census, World Bank, OECD, WTO, IMF PortWatch, etc.) for real
- `get_validated_trends`: Discovers consumer trends that have been empirically corroborated by corporate earnings reports in Fodda's cross-validation pipeline. Connects high-level cultur
- `list_graphs`: Catalog and discovery layer for Fodda knowledge graphs: lists all accessible knowledge graph IDs, topic vertical tags, author credentials, node counts, and sign
- `read_url`: Extract clean text content from any URL. Use this when a user shares a link (competitor site, news article, client brief, trend report) and wants to cross-refer
- `search_graph`: Use when searching for market trends, category dynamics, and consumer shifts across 100+ curated knowledge graphs. Returns trends with cited evidence, lifecycle
- `search_insights`: Narrative and qualitative evidence layer only: returns expert quotes, editorial analysis, and strategic perspectives from named strategists and industry leaders
- `search_statistics`: Quantitative statistics and hard numbers retrieval layer: queries curated knowledge graphs for empirical metrics, survey percentages, market sizes, adoption rat

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.