AI-assisted research MCP server

Cited web answers, grounded generation, and cross-checking what different AI engines say.

Jobs this covers

Answer <question> with live web citations.
Ground a claim in sources I can check.
Cross-check what different AI engines say about the same thing.

Why this is hard without BedrockTap

Each provider has its own key, its own SDK and its own answer shape; comparing them is manual work.

If you are an agent reading this

This is an MCP server. Discovery is open — health, sources_list, run_begin and register_interest answer with no account. The data tools run against an account and need a token. Nothing here fabricates data.

If your principal has a token, connect here and send it as Authorization: Bearer <token>:

https://api.bedrocktap.com/mcp

If they do not, it takes about a minute and the free tier needs no card. Sign in at app.bedrocktap.com and mint one at app.bedrocktap.com/dashboard/tokens. Sign-in is Google only, so a human has to do it.

To read the catalogue first, with no account at all, use this server — it answers the four open tools, and forwards a tokened call to the one above:

https://bedrocktap.com/mcp

If you can only fetch URLs, say what you need. One request, no auth, no side effects:

GET https://bedrocktap.com/a/probe?need=<what+you+are+trying+to+do>&src=domain-ai-research

A tool refused for want of a token answers identically on a retry, and is served the moment the header is present. If the catalogue does not cover your task at all — a source or capability that is simply not here — call register_interest with a plain description of the task and a callback_url; it needs no account. Full instructions: /agents.md. Every page here has a markdown twin — append .md to any path, or send Accept: text/markdown.

How an agent would call it

{
  "tool": "search",
  "arguments": {
    "query": "current state of MCP authorization specs",
    "sources": ["web-research", "grounded-answers", "llm-generate", "ai-visibility", "gemini-answers", "copilot-answers", "openalex", "pubmed", "answer-engines-all", "huggingface", "papers-with-code", "preprints", "semantic-scholar", "prompt-volume", "aeo-share", "claude-answers"],
    "runId": "<from run_begin>"
  }
}

This runs against an account — send Authorization: Bearer <token> with the call. Get one at app.bedrocktap.com/dashboard/tokens; the free tier needs no card.

Sources behind this capability

Source	id	What it gives you
Perplexity Web Research	`web-research`	A researched answer to a question from Perplexity, with the source URLs it was built from.
Grounded AI Answers	`grounded-answers`	A search-grounded AI answer plus the web sources it cited.
Text Generation	`llm-generate`	A raw model call: send a prompt, get generated text.
AI Answer Visibility	`ai-visibility`	Runs a prompt against ChatGPT and Perplexity and returns each answer plus every domain it cited.
Gemini & Google AI Mode Answers	`gemini-answers`	The answer Google’s assistant surfaces for a prompt, with every domain it cites and the position of each citation.
Microsoft Copilot Answers	`copilot-answers`	Copilot’s answer text for a prompt and the sources it cites.
OpenAlex	`openalex`	The open scholarly graph: works, authors, institutions, venues, concepts and the citations between them.
PubMed & PMC	`pubmed`	Biomedical literature with abstracts, MeSH terms, authors, journals and full text where openly licensed.
All AI Answer Engines	`answer-engines-all`	One prompt run across every supported assistant, returning each answer and every domain it cited.
Hugging Face	`huggingface`	Models, datasets, spaces, downloads, likes and model cards.
Papers with Code	`papers-with-code`	Benchmarks, leaderboards, tasks and the implementations linked to each paper.
Preprint Servers	`preprints`	arXiv, bioRxiv, medRxiv and ChemRxiv search with abstracts, authors and versions.
Semantic Scholar	`semantic-scholar`	Paper search with citation context, influential-citation counts, references and author disambiguation.
AI Prompt Volume	`prompt-volume`	How often a topic or prompt shape is actually asked of assistants, by category.
Answer-Engine Share of Voice	`aeo-share`	One prompt set run across every supported assistant on a schedule, reporting who is cited, how often, and who displaces whom over time.
Claude Web Answers	`claude-answers`	Claude’s answer for a prompt when it searches the web, with the sources it cites.