For AI agent builders

Your agent is stuck
at step 1: read the web.

Every agent project hits the same wall. The LLM is great. The orchestrator is fine. But scraping is hostile, SERP APIs are expensive, document parsing is broken, and the web breaks every Tuesday. Ollagraph is the layer that fixes all of that.

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THE PROBLEM

You shouldn't be integrating six vendors.

A research agent needs scraping (Firecrawl / ScrapingBee). A grounding agent needs SERP (Serper / Tavily). A doc-RAG pipeline needs PDF parsing (LlamaParse / unstructured). A compliance agent needs domain intel (WhoisXML / SecurityTrails). A site-audit agent needs SEO data (DataForSEO / Ahrefs). That's five vendors, five auths, five bills, five SDKs, five rate-limiters, five sets of failure modes. And none of them speak MCP.

WHAT WE FIX

One API. One MCP server. One bill.

Ollagraph covers all five vendors with one Bearer token. Every endpoint exposed as an MCP tool. Failed calls auto-refund. Rate-limiting is per-plan, not per-vendor. The web breaks Tuesday? Our problem, not yours.

USE CASES

What agents actually do with Ollagraph.

Research agents

SERP → fetch top-N → clean → chunk → cite. One /v1/scrape/llm-ready call returns the whole RAG-ready payload, including source URLs for citation.

/v1/seo/serp · /v1/scrape/llm-ready · /v1/extract/clean

Grounding agents

The agent claims something. You verify it against the live web before responding. Time-boxed multi-source search returns dated, attributed snippets the LLM can cite.

/v1/search/web · /v1/search/news · /v1/extract/structured

Document agents

Customer uploads a PDF, DOCX, or XLSX. The agent needs structured text, tables, and layout. Layout-aware extraction handles forms, scans, and multi-column papers.

/v1/convert/pdf-to-markdown · /v1/convert/pdf-to-structured · /v1/convert/ocr

Site-audit agents

Customer hands the agent a URL. The agent runs 30+ technical/SEO/AEO checks, scores the site, and writes a remediation plan. 100+ audit endpoints in one family.

/v1/aeo/page-audit · /v1/seo/core-web-vitals · /v1/seo/schema-validate

Lead-research agents

Email or domain in, company profile out: industry, size, HQ, socials, tech stack, careers page activity. Built from public scrape, not paid feeds.

/v1/enrich/company · /v1/enrich/tech-stack · /v1/enrich/jobs

Security agents

Investigate a domain or IP: WHOIS, RDAP, DNS records, certificate transparency, ASN, subdomains via passive recon. No threat-intel feed lock-in.

/v1/intel/rdap · /v1/intel/cert-transparency-history · /v1/intel/subdomain-enumerate
MCP NATIVE

Drop into Claude Desktop in 30 seconds.

Every Ollagraph endpoint is exposed as an MCP tool. The OpenAPI spec is tuned for LLM tool-use: clear descriptions, typed parameters, predictable error shapes. Add one line to your Claude Desktop / Cursor / Cline config and your agent can call all 148 capabilities directly. No SDK install. No glue code.

~/.config/claude/mcp.json
{
  "mcpServers": {
    "ollagraph": {
      "command": "npx",
      "args": ["@ollagraph/mcp"],
      "env": {
        "OG_API_KEY": "osk_..."
      }
    }
  }
}

Stop integrating. Start shipping.

1,000 credits on signup. 148 endpoints. MCP server. No card. No vendor sprawl.

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