SpeechWeave vs Exa MCP Server
A side-by-side look at the SpeechWeave and Exa MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose SpeechWeave for speech-to-text work as a local process; choose Exa MCP Server for search & data extraction as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose SpeechWeave when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
- You want tools like
transcribe_file, transcribe_url, start_job_file.
Choose Exa MCP Server when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
web_search_exa, web_fetch_exa.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Speech-to-Text | Search & Data Extraction |
| Quality signal | 59/100 · Good | 73/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 5,163 |
| Directory activity | 1 views 0 installs 0 upvotes | 11 views 0 installs 0 upvotes |
| Tools | 8 | 2 |
| Full listing | View SpeechWeave | View Exa MCP Server |
Tools & capabilities
SpeechWeave tools 8
transcribe_fileUpload a local audio/video file and wait until transcription finishes. Prefer for short/medium clips when you need the transcript in this turn. Pass an absolute filesystem path (never raw binary). Set task='translate' to get an English translation instead of a same-language transcript. On wait timeout, returns job_id, then call get_job_status. For long audio you plan to poll yourself, use start_job_file instead.transcribe_urlStart transcription from a public HTTPS URL and wait until it finishes. Prefer for short/medium media when you need the transcript in this turn. Set task='translate' to get an English translation instead of a same-language transcript. On wait timeout, returns job_id, then call get_job_status. For long audio you plan to poll yourself, use start_job_url instead.start_job_fileUpload a local audio/video file and return a job id immediately without waiting. Use for long recordings or when you will poll later with get_job_status. Pass an absolute filesystem path. Set task='translate' for an English translation instead of a same-language transcript.start_job_urlCreate a transcription job from a public HTTPS URL and return a job id immediately. Use for long media or deferred workflows; poll with get_job_status until completed, failed, or cancelled. Set task='translate' for an English translation instead of a same-language transcript.get_job_statusFetch the current status of a transcription job (and transcript when completed). Poll until status is completed, failed, or cancelled. Pass response_format ('srt', 'vtt', or 'verbose_json') on a completed job to fetch it re-formatted.cancel_jobCancel a queued or processing transcription job. Fails if the job is already terminal.get_limitsFetch upload size ceilings for the calling API key (GET /v1/limits). Returns max_input_bytes, sync_max_bytes, and proxy_max_bytes plus MB equivalents. Call before transcribe_file or start_job_file when file size is large.fetch_docReturn public SpeechWeave documentation for a slug. Use slug 'list' for the catalog. Bundled pages include quickstart, mcp, models, billing, and data_retention. Use slug 'api' for a live OpenAPI overview, or 'api/<operation_slug>' for one endpoint (e.g. api/get_v1_limits).
Exa MCP Server tools 2
web_search_exaSearch the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.web_fetch_exaRead a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL. Best for: Extracting full content from known URLs. Batch multiple URLs in one call. Returns: Clean text content and metadata from the page(s).
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
SpeechWeave
{
"mcpServers": {
"speechweave": {
"command": "npx",
"args": [
"-y",
"@speechweave/mcp"
]
}
}
}
Exa MCP Server
{
"mcpServers": {
"exa-labs-exa-mcp-server": {
"command": "npx",
"args": [
"-y",
"exa-mcp-server"
]
}
}
}
Frequently asked questions
SpeechWeave is categorized under Speech-to-Text and uses a local stdio subprocess. Exa MCP Server belongs to Search & Data Extraction and uses a local stdio subprocess. Pick SpeechWeave for speech-to-text work and Exa MCP Server for search & data extraction.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
SpeechWeave has no declared pricing — check the project's own site. Exa MCP Server is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add speechweave and exa-labs-exa-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, SpeechWeave has a quality signal of 59/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Exa MCP Server has 73/100 (Great) with 11 views, 0 installs and 5,163 GitHub stars.