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Konur","email":"yigit35@gmail.com"},"license":"MIT","homepage":"https://github.com/yigitkonur/mcp-researchpowerpack#readme","keywords":["mcp","research","reddit","serper","search","ai","model-context-protocol","web-scraping","claude","anthropic","scraping","research-powerpack","http-mcp"],"repository":{"type":"git","url":"git+https://github.com/yigitkonur/mcp-researchpowerpack.git"},"description":"HTTP-first MCP research server: start-research plus raw/smart search and scrape tools — built on mcp-use.","maintainers":[{"name":"yigitkonur","email":"yigit35@gmail.com"}],"readme":"[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/yigitkonur-mcp-researchpowerpack-badge.png)](https://mseep.ai/app/yigitkonur-mcp-researchpowerpack)\n\n# mcp-researchpowerpack\n\nhttp mcp server for research. five tools, orientation-first, built for agents\nthat run multi-pass research loops.\n\nships on [`mcp-use`](https://github.com/nicepkg/mcp-use). tool-level provider\nand llm orchestration flows through effect ts service layers for typed\nconcurrency, typed errors, scoped kernel cleanup, and step timeouts. provider\nclients remain small promise/sdk adapters behind those layers. no stdio — http\nonly.\n\n## tools\n\n| tool | what it does | needs |\n|------|-------------|-------|\n| `start-research` | returns a goal-tailored brief: `primary_branch` (reddit / web / both), exact `first_call_sequence`, 25–50 keyword seeds, iteration hints, gaps to watch, stop criteria. call first every session. | `LLM_API_KEY` + `LLM_BASE_URL` + `LLM_MODEL` for the non-degraded brief (optional — server falls back to a static playbook) |\n| `raw-web-search` | parallel search, up to 50 `keywords` per call. serper is primary; jina search is the fallback when serper is missing, fails, or returns empty. returns the raw ranked markdown list directly — no llm pass. use for broad discovery, audit trails, and reddit permalink probes via explicit `site:reddit.com/r/.../comments`. | `SERPER_API_KEY` or `JINA_API_KEY` |\n| `smart-web-search` | parallel search, up to 50 `keywords` per call, plus required `extract`. same provider order as raw. always runs llm classification and returns tiered markdown (HIGHLY_RELEVANT / MAYBE_RELEVANT / OTHER) + grounded synthesis + gaps + refine suggestions. supports `scope: \"web\" \\| \"reddit\" \\| \"both\"`. | `SERPER_API_KEY` or `JINA_API_KEY` + llm env triple |\n| `raw-scrape-links` | fetch urls in parallel, return full markdown directly. reddit post permalinks route through the reddit api with threaded comments. non-reddit urls hit jina reader first, then jina reader through scrape.do proxy mode, then optional kernel browser rendering for web pages. pdf / docx / pptx / xlsx urls go straight through jina reader. | optional `REDDIT_CLIENT_ID` / `REDDIT_CLIENT_SECRET`, `SCRAPEDO_API_KEY`, `JINA_API_KEY`, `KERNEL_API_KEY` |\n| `smart-scrape-links` | same fetch stack as raw scrape, then per-url llm extraction with required `extract`. returns focused evidence packs with `## Source`, `## Matches`, `## Not found`, and `## Follow-up signals`. | raw scrape providers + llm env triple |\n\nalso exposes `/health` (simplified for proxies) and `health://status` (full\njson: planner/extractor reachability, consecutive failure counters, uptime,\nactive sessions).\n\n## workflow\n\ncall `start-research` once per session with your goal. the server returns a\nbrief that names the first tool to fire (reddit-first for sentiment/migration,\nweb-first for spec/bug/pricing, both when opinion-heavy and you also need\nofficial sources), the keyword seeds to fan out, and stop criteria.\n\nfor search fan-out, think bad → better before calling `raw-web-search` or\n`smart-web-search`. turn broad phrases like `<feature> support`, `<product>\npricing`, `<library> bug fix`, or `<tool> reviews` into source-aware probes\nlike:\n\n- `site:<official-docs-domain> \"<feature>\" \"<platform-or-version>\"`\n- `site:<vendor-domain> \"<product>\" pricing \"enterprise\" OR \"free tier\"`\n- `\"<exact error text>\" \"<library-or-package>\" \"<version>\" site:github.com`\n- `site:reddit.com/r/<community>/comments \"<tool>\" \"migration\" OR \"regression\"`\n\npair the server with the [`run-research`](https://github.com/yigitkonur/skills-by-yigitkonur/tree/main/skills/run-research)\nskill for the full agentic playbook:\n\n```bash\nnpx -y skills add -y -g https://github.com/yigitkonur/skills-by-yigitkonur --skill /run-research\n```\n\n## quickstart\n\n```bash\n# from npm\nHOST=127.0.0.1 PORT=3000 npx -y mcp-researchpowerpack\n\n# from source\ngit clone https://github.com/yigitkonur/mcp-researchpowerpack.git\ncd mcp-researchpowerpack\npnpm install && pnpm dev\n```\n\npoint your client at `http://localhost:3000/mcp`:\n\n```json\n{\n  \"mcpServers\": {\n    \"research-powerpack\": {\n      \"url\": \"http://localhost:3000/mcp\"\n    }\n  }\n}\n```\n\nor skip the install entirely and hit the hosted deployment at\n`https://research-mcp.yigitkonur.com/mcp`.\n\n## config\n\ncopy `.env.example`, set only what you need. blank/whitespace keys are treated\nas absent. missing keys don't crash the server — they disable the affected\ncapability with a clear error at call time.\n\n### server\n\n| var | default | |\n|-----|---------|---|\n| `PORT` | `3000` | http port |\n| `HOST` | `127.0.0.1` | bind address; cloud runtimes that set `PORT` auto-switch to `0.0.0.0`. public binds require `ALLOWED_ORIGINS`, `MCP_URL`, `CSP_URLS`, or `FLY_APP_NAME` |\n| `ALLOWED_ORIGINS` | unset | comma-separated origins for host validation / cors; merged with `MCP_URL` and platform `CSP_URLS` when present |\n| `MCP_URL` | unset | public mcp url; contributes its origin to host validation and well-known resource urls |\n| `CSP_URLS` | unset | platform-provided comma-separated public origins; also contributes to host validation, including the derived mcp-use `--br-main` host |\n| `FLY_APP_NAME` | unset | Fly runtime app name; when present, `https://<app>.fly.dev` is added to host validation for Manufact's deploy verifier |\n| `NODE_ENV` | unset | `production` also requires `ALLOWED_ORIGINS`, `MCP_URL`, `CSP_URLS`, or `FLY_APP_NAME`, even on a local bind |\n| `DEBUG` | unset | `1` or `2` to bump mcp-use debug verbosity |\n\n### providers\n\n| var | enables |\n|-----|---------|\n| `SERPER_API_KEY` | primary raw/smart web search provider |\n| `SCRAPEDO_API_KEY` | scrape.do proxy-mode retry for jina reader (`X-Proxy-Url`) |\n| `REDDIT_CLIENT_ID` + `REDDIT_CLIENT_SECRET` | raw/smart scrape for reddit.com permalinks (threaded post + comments) |\n| `JINA_API_KEY` | jina search fallback and authenticated jina reader requests |\n| `KERNEL_API_KEY` | optional kernel browser-render fallback after jina direct + proxy fail |\n| `KERNEL_PROJECT` | optional kernel project scoping header for org-wide api keys |\n| `LLM_API_KEY` + `LLM_BASE_URL` + `LLM_MODEL` | goal-tailored brief, `smart-web-search`, `smart-scrape-links` |\n\n### llm\n\nany openai-compatible endpoint. `LLM_API_KEY`, `LLM_BASE_URL`, and `LLM_MODEL`\nare required together. reasoning effort is hardcoded to `low`.\n\n| var | required? | |\n|-----|-----------|---|\n| `LLM_API_KEY` | yes | api key for the endpoint |\n| `LLM_BASE_URL` | yes | base url for the openai-compatible endpoint (e.g. `https://server.up.railway.app/v1`) |\n| `LLM_MODEL` | yes | primary model (e.g. `gpt-5.4-mini`) |\n| `LLM_FALLBACK_MODEL` | no | model to use after primary exhausts retries — gets 3 more attempts (e.g. `gpt-5.4`). also receives oversized inputs that exceed the primary's context window |\n\n### concurrency\n\nall optional. provider limits are clamped 1–200; kernel is clamped 1–20.\nmalformed numeric values are rejected instead of partially parsed.\n\n| var | default | controls |\n|-----|---------|----------|\n| `CONCURRENCY_SEARCH` | `50` | parallel serper / jina search queries |\n| `CONCURRENCY_SCRAPER` | `50` | parallel scrape.do (proxy mode) requests |\n| `CONCURRENCY_JINA_READER` | `50` | parallel jina reader fetches |\n| `CONCURRENCY_REDDIT` | `50` | parallel reddit api fetches |\n| `CONCURRENCY_KERNEL` | `3` | parallel kernel browser-render fallbacks |\n| `LLM_CONCURRENCY` | `50` | parallel llm extraction / classification calls |\n\n### evals\n\n`pnpm test:evals` writes a json artifact to `test-results/eval-runs/<timestamp>.json`.\nwhen an openai api key is present, it runs a live responses-api + remote-mcp\neval. without one, it exits successfully in explicit skip mode and records\nthe skip in the artifact.\n\nuseful env vars:\n\n- `EVAL_MCP_URL`\n- `EVAL_MODEL`\n- `EVAL_API_KEY` or `OPENAI_API_KEY`\n\n## dev\n\n```bash\npnpm install\npnpm dev          # watch mode, serves :3000/mcp\npnpm typecheck    # tsc --noEmit\npnpm test:unit    # deterministic unit tests\npnpm test:http    # local http / mcp integration test\npnpm test         # unit + http integration tests\npnpm build        # compile to dist/\npnpm inspect      # mcp-use inspector\n```\n\n`prepublishOnly` runs `pnpm typecheck`, `pnpm test:unit`, `pnpm test:http`,\nand `pnpm build`, matching the required publish gate.\n\n## deploy\n\ndeploy to manufact cloud via the `mcp-use` cli (github-backed):\n\n```bash\npnpm deploy       # runs the package script: mcp-use deploy\n```\n\nthe canonical hosted endpoint is `https://research-mcp.yigitkonur.com/mcp`.\nthe raw manufact server slug is `calm-wave-3gtvb`.\n\nor self-host anywhere with node 20.19+ / 22.12+:\n\n```bash\nHOST=0.0.0.0 ALLOWED_ORIGINS=https://app.example.com pnpm start\n# or derive production origin protection from the public mcp url:\nNODE_ENV=production MCP_URL=https://research.example.com/mcp pnpm start\n```\n\n## architecture\n\n```\nindex.ts                 server startup, cors, health, shutdown\nsrc/\n  config/                env parsing, capability detection, lazy proxy config\n  effect/                typed service tags + Live layers; runExternalEffect()\n                         only accepts fully-provided programs at the async\n                         tool boundary\n  clients/               provider api clients (serper, jina, kernel, reddit,\n                         scrapedo) — wrapped by Live layers in src/effect/\n  tools/\n    registry.ts          registerAllTools() — wires the five tools\n    start-research.ts    goal-tailored brief + static playbook + planner\n                         circuit-breaker\n    search.ts            raw/smart search handlers (ctr ranking + optional\n                         llm classification)\n    scrape.ts            raw/smart scrape handlers (reddit api, jina reader,\n                         scrape.do proxy retry, optional kernel, optional\n                         llm extraction)\n    mcp-helpers.ts       markdown response builders\n  services/\n    llm-processor.ts     llm extraction, classification, brief generation —\n                         primary + fallback model, always low reasoning,\n                         oversized inputs route straight to fallback\n    markdown-cleaner.ts  html/markdown cleanup (readability + turndown)\n  schemas/               zod v4 input validation per tool\n  utils/                 errors, retry, ctr aggregator, response builders,\n                         logger (stderr-only, mcp-safe)\n```\n\nkey patterns: capability detection at startup, description-led tool routing\n(no bootstrap gate), markdown-only mcp tool output for search/scrape,\nraw/smart tool split, tiered classified output in `smart-web-search`, reddit\napi routing in scrape tools, jina reader first for non-reddit urls,\nscrape.do proxy-mode retry through `X-Proxy-Url`, optional kernel\nbrowser-render fallback with scoped session cleanup, bounded concurrency via\n`Effect.forEach`, ctr-based url ranking, tools never throw (always return\n`toolFailure`), and structured errors with retry classification.\n\n## license\n\nMIT\n","readmeFilename":"README.md"}