"Exploring MCP Server Model Context Protocols for Research Paper Creation" matching MCP tools:

• get_protocol_tvlA

  TeardropA

  Get Total Value Locked for one or many DeFi protocols from DeFiLlama: current USD TVL, 7/30-day change, fees and revenue when reported, per-chain breakdown, and optional daily historical series. Batch multiple protocols via protocols=[...] — batch responses return one compact economic summary per protocol; single-protocol calls add chain and historical detail. Supports 3,000+ protocols; use DeFiLlama slugs ('aave-v3', 'uniswap-v3'); common aliases are auto-corrected. Use when: Use for protocol-level economic questions — size, growth, fees, or revenue of a specific protocol. For 2+ protocols always batch in one call rather than calling per-protocol. Pass include_historical=true with days when a trend is needed; without it the response is a current TVL scalar. For ecosystem-level chain comparisons use get_chain_metrics instead. Limitations: Third-party DeFiLlama analytics, not on-chain truth. Upstream revenue failures surface as revenue_error_type and null economic fields are data gaps — never fabricate values for them. Alternatives: get_chain_metrics, get_yield_rates, get_dex_volume

  ConnectorNo auth

• check_textA

  WSC - Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• check_textA

  Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• factreason_integration_briefA

  FactGrid (Renamed to FactReason)A

  Compile one callable third-party API brief: base URL, auth scheme, required parameters and types, request body, and documented response codes. Service is required and endpoint optionally narrows the operation. Set responseFormat="compact" for tokenizer-measured context savings; the backward-compatible default returns the full brief plus compact form. Uses metered access. Prefer factreason_api_schema when exploring multiple endpoints.

  ConnectorNo auth

• factreason_integration_briefA

  FactReasonA

  Compile one callable third-party API brief: base URL, auth scheme, required parameters and types, request body, and documented response codes. Service is required and endpoint optionally narrows the operation. Set responseFormat="compact" for tokenizer-measured context savings; the backward-compatible default returns the full brief plus compact form. Uses metered access. Prefer factreason_api_schema when exploring multiple endpoints.

  ConnectorNo auth

• find_payroll_anomaliesA

  Plumbline — a trust layer for LLM answersA

  Surface payroll and deduction anomalies in the latest snapshot. NOTE: internal drafting is disabled on this deployment. If your client supports MCP sampling, this tool asks YOUR model to draft in the same call (verified server-side); otherwise it returns an explicit refusal, and you should use ask_prepare then ask_submit_draft to draft with your own model.

  ConnectorNo auth

• get_price_estimateA

  BridgeNode MCPA

  Estimate the USDC cost of a chat completion request before paying — free, no payment, no authentication required. Read-only: no state changes and no external calls; the estimate is computed locally from server pricing config, so repeated calls with identical inputs return identical results (idempotent). Use this tool to check the exact price for a given model/mode, messages, and max_tokens before calling the paid chat_completions tool. Provide either mode (auto/eco/premium routing) or model (explicit id, mutually exclusive with mode); one of the two is required — if both are sent, model wins. mode values: auto = cheapest model fitting the context, eco = cheapest available, premium = best model.

  ConnectorNo auth

• lookup_paperA

  BGPT Scientific DataA

  Look up a single paper by its DOI. Args: doi: The DOI of the paper (e.g. "10.1038/s41586-024-07386-0"). output_format: "evidence" for compact claim-level evidence (default), "legacy" for original paper metadata, or "full" for both. Returns: An envelope with found status and the paper in result, or a not-found message. A found paper counts as one result.

  ConnectorNo auth

• lookup_paperA

  BGPT - Scientific Paper SearchA

  Look up a single paper by its DOI. Args: doi: The DOI of the paper (e.g. "10.1038/s41586-024-07386-0"). output_format: "evidence" for compact claim-level evidence (default), "legacy" for original paper metadata, or "full" for both. Returns: An envelope with found status and the paper in result, or a not-found message. A found paper counts as one result.

  ConnectorNo auth

• get_instructionsA

  debridge-mcpB

  Returns the full guide for the deBridge MCP server. CALL THIS FIRST.

  ConnectorNo auth

• chatA

  Hook DetectorA

  One conversational turn, for an agent relaying a person's words. It either asks ONE clarifying question (action "clarify"), answers about delivered hooks or the tool (action "answer", run null, no credits), or starts a research run (action "research", with the started run under "run"), exactly like POST /v1/chat. Every response has suggestions: 0 to 4 follow-ups, [] for research. message is 1 to 4000 characters. Pass conversation_id from an earlier turn to keep the context; leave it out to start a conversation. Cost: a turn itself is free but is a model call, so turns are limited per account per hour (429 rate_limited); a turn that starts a run reserves credits like find_hooks. Next step: on "research", call get_run with run.run_id and wait_seconds=50. Errors: 503 model_unavailable when the model is down (nothing charged, try again), 402 insufficient_credits. For direct research without the question step, call find_hooks instead. Needs the write permission, and research for a turn that starts a run (403 insufficient_scope, nothing reserved).

  ConnectorNo auth

• compare_protocolsA

  intelligence-mcpA

  Get a side-by-side comparison matrix of all five agent payment protocols (AP2, ACP, x402, MPP, UCP) across creator, layer, agent delegation, budget limits, cross-merchant coordination, and MCP integration. Use when the user asks to compare protocols ('AP2 vs ACP', 'which protocol handles budgets?', 'what's the difference between x402 and MPP?', 'show me the landscape'). Use get_protocol_info instead for deep details on a single protocol.

  ConnectorNo auth

• compare_protocolsA

  Intelligence MCPA

  Get a side-by-side comparison matrix of all five agent payment protocols (AP2, ACP, x402, MPP, UCP) across creator, layer, agent delegation, budget limits, cross-merchant coordination, and MCP integration. Use when the user asks to compare protocols ('AP2 vs ACP', 'which protocol handles budgets?', 'what's the difference between x402 and MPP?', 'show me the landscape'). Use get_protocol_info instead for deep details on a single protocol.

  ConnectorNo auth

• save_study_draftA

  Minds: Synthetic Market ResearchA

  Creates or checkpoints an unfinished Quick or Custom Study draft without starting research. It saves the objective, context, selected Audiences, method, questions, sources, and current planner step. Revisions replace the saved planning state and require the exact draft ID and expected revision; stale writes are rejected. For a retryable creation, choose idempotencyKey before the first save and reuse it after an uncertain result.

  Connector

  Destructive

  API key

• ingestion_getA

  DeepMarkA

  Read the current state of an ingestion job (paper creation or document ingestion). Returns the status plus a derived `awaiting` gate ('triage' | 'confirmation' | null), whether it is terminal, and the next action to take. Poll this after starting a job: a paper-creation job parks at `awaiting_confirmation` (then call paper_confirm) — it does NOT run to `complete` on its own. Stop polling on a terminal status (complete | failed | cancelled) or when an action is required.

  ConnectorOAuth

• models_listA

  HubrisA

  Walk the whole Hubris catalogue page by page, ordered by model id. Returns every active model with its capabilities, context window and ruble price. Use this when you need the complete catalogue — to cache it, to count models, or to scan for something no filter covers. When you are looking for a model that fits a task, use models_search instead: it filters by capability, price and context server-side and saves you a few hundred rows. Paging: read `nextCursor` from the response and pass it back as `cursor`. When `nextCursor` is absent you have reached the end. The catalogue holds roughly 550 models, so a full walk is about 11 calls at the default page size.

  ConnectorAPI key

• createDeepResearchA

  Parallel Task MCPA

  Creates a Deep Research task for comprehensive, single-topic research with citations. USE THIS for analyst-grade reports, NOT for batch data enrichment. Use Parallel Search MCP for quick lookups. After calling, share the URL with the user and STOP. Do not poll or check results unless otherwise instructed. Multi-turn research: The response includes an interaction_id. To ask follow-up questions that build on prior research, pass that interaction_id as previous_interaction_id in a new call. The follow-up run inherits accumulated context, so queries like "How does this compare to X?" work without restating the original topic. Note: the first run must be completed before the follow-up can use its context.

  ConnectorOAuth

• neuron_logoutA

  neuronB

  Clear the current auth token locally. Does NOT revoke server-side MCP tokens — revoke from the Neuron dashboard (Settings > MCP Tokens) for full invalidation.

  ConnectorNo auth

• convert_arxivA

  inktomd MCP ServerA

  Convert any ArXiv research paper to clean structured Markdown. Accepts both abstract page URLs (arxiv.org/abs/PAPER_ID) and direct PDF links (arxiv.org/pdf/PAPER_ID). Returns the full paper content with headings, sections, and content preserved — uses significantly fewer tokens than the PDF format for AI analysis.

  ConnectorNo auth

• deep_researchA

  netcafe-docsA

  Start an autonomous web research task. The agent plans sub-questions, searches the web, reads the sources and writes a report with citations — this is real research, not a single model call, and takes 2-5 minutes. Returns a job_id immediately; poll check_job to get the report. Use this when you need sourced, current information rather than what a model already knows. Powered by gpt-researcher (29k stars) hosted at AI NetCafé. Example — tools/call deep_research {"topic":"State of MCP adoption in 2026?"} → poll check_job

  ConnectorNo auth

• search_employeeA

  Plumbline — a trust layer for LLM answersA

  Search the employment fact store for a person and return a grounded, verified answer. NOTE: internal drafting is disabled on this deployment. If your client supports MCP sampling, this tool asks YOUR model to draft in the same call (verified server-side); otherwise it returns an explicit refusal, and you should use ask_prepare then ask_submit_draft to draft with your own model.

  ConnectorNo auth