Exa Neural Search via MCP
affaan-m/ECC
Searches the web, code, companies and people through the Exa MCP server, with notes on setup, the web_search_exa tool and treating results as untrusted data.
Neural web search - find similar content, extract pages, and run deep research
$ npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-exa --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-exa .claude/skills/web-search-exa && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "web-search-exa" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-exa into .claude/skills/web-search-exa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-exa", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-exaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-exa --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-exa .agents/skills/web-search-exa && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "web-search-exa" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-exa into .agents/skills/web-search-exa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-exa", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-exa --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-exa .cursor/skills/web-search-exa && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "web-search-exa" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-exa into .cursor/skills/web-search-exa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-exa", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/research-tools/capabilities/web-search-exa--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-exa --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-exa .gemini/skills/web-search-exa && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "web-search-exa" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-exa into .gemini/skills/web-search-exa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-exa", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills web-search-exaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-exa .github/skills/web-search-exa && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "web-search-exa" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-exa into .github/skills/web-search-exa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-exa", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills web-search-exa --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-exa .opencode/skills/web-search-exa && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "web-search-exa" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-exa into .opencode/skills/web-search-exa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-exa", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
web-search-exaNeural web search - find similar content, extract pages, and run deep research
Web Search Exa is an agent skill from gooseworks-ai/goose-skills. Neural web search - find similar content, extract pages, and run deep research
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Productivity & Automation, covering Web search and Deep research. It works with Exa. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlpython3npxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.gooseworks.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GOOSEWORKS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Web Search Exa loads about 3.4k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 1,548 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,548 words, ~3,361 tokens.
.claude/skills/web-search-exa/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Neural search engine for finding similar content, extracting pages, and deep research.
Retrieve a paginated list of your research tasks. The response follows a cursor-based pagination pattern. Pass the limit parameter to control page size (max 50) and use the cursor token returned in the response to fetch subsequent pages.
Parameters:
11 <= x <= 50curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research/v1"}'Get an LLM answer to a question informed by Exa search results. /answer performs an Exa search and uses an LLM to generate either:
A direct answer for specific queries. (i.e.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/answer","body":{"query":"What are the best practices for prompt engineering?"}}'The search endpoint lets you intelligently search the web and extract contents from the results.By default, it automatically chooses the best search method using Exa’s embeddings-based model and other techniques to find the most relevant results for your query.
Parameters:
<string>) - The type of search. Neural uses an embeddings-based model, auto (default) intelligently combines neural and other search methods, fast uses streamlined versions of the search models, and deep provides comprehensive search with query expansion and detailed context.<string>) - A data category to focus on. The people and company categories have improved quality for finding LinkedIn profiles and company pages. Note: The company and people categories only support a limited set of filters. The following parameters are NOT supported for these categories: startPublishedDate, endPublishedDate, startCrawlDate, endCrawlDate, includeText, excludeText, excludeDomains. For people category, includeDomains only accepts LinkedIn domains. Using unsupported parameters will result in a 400 error.<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled after this date. Must be specified in ISO 8601 format.<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled before this date. Must be specified in ISO 8601 format.<date-time>) - Only links with a published date after this will be returned. Must be specified in ISO 8601 format.<date-time>) - Only links with a published date before this will be returned. Must be specified in ISO 8601 format.curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/search"}'
"query": "startups building AI coding assistants",
"num_results": 10,
"contents": {"text": true}
}'Retrieve the status and results of a previously created research task.Use the unique researchId returned from POST /research/v1 to poll until the task is finished.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research/v1/{researchId}"}'Find similar links to the link provided and optionally return the contents of the pages.
Parameters:
<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled after this date. Must be specified in ISO 8601 format.<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled before this date. Must be specified in ISO 8601 format.<date-time>) - Only links with a published date after this will be returned. Must be specified in ISO 8601 format.<date-time>) - Only links with a published date before this will be returned. Must be specified in ISO 8601 format.curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/findSimilar"}'
"url": "https://example.com/article",
"num_results": 10
}'Create an asynchronous research task that explores the web, gathers sources, synthesizes findings, and returns results with citations.
Parameters:
<string>) - Research model to use. exa-research is faster and cheaper, while exa-research-pro provides more thorough analysis and stronger reasoning.curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research/v1","body":{"instructions":"Research the current state of AI coding assistants"}}'Get the full page contents, summaries, and metadata for a list of URLs.Returns instant results from our cache, with automatic live crawling as fallback for uncached pages.
Parameters:
<string>) - Options for livecrawling pages.'never': Disable livecrawling (default for neural search).'fallback': Livecrawl when cache is empty.'preferred': Always try to livecrawl, but fall back to cache if crawling fails.'always': Always live-crawl, never use cache. Only use if you cannot tolerate any cached content. This option is not recommended unless consulted with the Exa team.curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/contents"}'
"ids": ["https://example.com"],
"text": true,
"summary": true
}'For full endpoint details and parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"exa API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research"}' # Get endpoint details© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/research-tools/capabilities/web-search-exa of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Web Search Exa next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Web Search Exa this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Exa Neural Search via MCPaffaan-m/ECC | 277k | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Web Research Search Tipsmalob/nix-config | 463 | — | ~2.4k | Automated safety check: Pass | MIT | |
| AI RAG PipelineNeverSight/learn-skills.dev | 217 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Tavily Web Searchallenpeng0705/EnvoyMesh | 3.1k | 3 repos | ~2.5k | Automated safety check: Notes | None |
affaan-m/ECC
Searches the web, code, companies and people through the Exa MCP server, with notes on setup, the web_search_exa tool and treating results as untrusted data.
malob/nix-config
Practical guidance for multi-source web research with Exa, the Firecrawl CLI and Reddit MCP tools: when to search, when to fetch and which tool to prefer.
NeverSight/learn-skills.dev
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
allenpeng0705/EnvoyMesh
Searches the web through the Tavily API with LLM-friendly output: clean structured results, optional AI-written answers, domain filters, news mode, images and raw content.
escapeWu/perplexity-ai
Searches the live web with citations through perplexity-mcp v2 tools or a bundled Python REST client, with focused ask, deep research and detached tasks.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Neural web search - find similar content, extract pages, and run deep research. Web Search Exa is an agent skill from gooseworks-ai/goose-skills.
Web Search Exa fits situations like: tasks that involve Web search; tasks that involve Deep research.
Run `npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/web-search-exa in gooseworks-ai/goose-skills) into .claude/skills/web-search-exa in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a codex`. Or copy the skill folder (skills/research-tools/capabilities/web-search-exa in gooseworks-ai/goose-skills) into .agents/skills/web-search-exa in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill web-search-exa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-search-exa, .gemini/skills/web-search-exa, .github/skills/web-search-exa and .opencode/skills/web-search-exa in your project.
Going by SKILL.md and its folder, Web Search Exa needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.
SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Web Search Exa is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Web Search Exa: Exa Neural Search via MCP (affaan-m/ECC, 277k stars), Web Research Search Tips (malob/nix-config, 463 stars), AI RAG Pipeline (NeverSight/learn-skills.dev, 217 stars) and Agent Reach (Panniantong/Agent-Reach, 95k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.