FunASR vs Hindsight
A side-by-side look at the FunASR and Hindsight MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose FunASR for speech-to-text work as a local process; choose Hindsight for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose FunASR when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
Choose Hindsight when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
HINDSIGHT_API_LLM_API_KEY, HINDSIGHT_API_LLM_PROVIDER, HINDSIGHT_DB_PASSWORD.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Speech-to-Text | Knowledge & Memory |
| Quality signal | 40/100 · Fair | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed | HINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD |
| Verified owner | Community listing | Community listing |
| GitHub stars | 20,795 | 52,712 |
| Directory activity | 1 views 0 installs 0 upvotes | 14 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View FunASR | View Hindsight |
Tools & capabilities
FunASR tools
No tool names declared yet. Check the project README from the listing page.
Hindsight tools
No tool names declared yet. Check the project README from the listing page.
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.
FunASR
{
"mcpServers": {
"funasr": {
"command": "uvx",
"args": [
"torch"
]
}
}
}
Hindsight
{
"mcpServers": {
"vectorize-io-hindsight": {
"command": "npx",
"args": [
"-y",
"@vectorize-io/hindsight-coding-agents"
],
"env": {
"HINDSIGHT_API_LLM_API_KEY": "YOUR_HINDSIGHT_API_LLM_API_KEY_HERE",
"HINDSIGHT_API_LLM_PROVIDER": "YOUR_HINDSIGHT_API_LLM_PROVIDER_HERE",
"HINDSIGHT_DB_PASSWORD": "YOUR_HINDSIGHT_DB_PASSWORD_HERE"
}
}
}
}
Frequently asked questions
FunASR is categorized under Speech-to-Text and uses a local stdio subprocess. Hindsight belongs to Knowledge & Memory and uses a local stdio subprocess. Pick FunASR for speech-to-text work and Hindsight for knowledge & memory.
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.
FunASR has no declared pricing — check the project's own site. Hindsight is listed as free. Auth: api key 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 funasr and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, FunASR has a quality signal of 40/100 (Fair) with 1 views, 0 installs and 20,795 GitHub stars. Hindsight has 57/100 (Good) with 14 views, 0 installs and 52,712 GitHub stars.