Context Doctor vs Echo AI
A side-by-side look at the Context Doctor and Echo AI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Context Doctor for conversational ai work as a local process; choose Echo AI for conversational ai over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Context Doctor when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You want tools like
profile_context, optimize_context, pack_context.
Choose Echo AI when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
list_echos, get_echo, get_embed_snippet.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 56/100 · Good | 48/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 4 | 8 |
| Full listing | View Context Doctor | View Echo AI |
Tools & capabilities
Context Doctor tools 4
profile_contextToken breakdown by category, largest messages, findings with estimated savings. Takes either `conversation` (full JSON or text) or `sketch` (turns + large/repeated blocks, for chat apps)optimize_contextRewrites the conversation: dedupe, trim stale tool results, strip base64, optional history pruningpack_contextOnly the chunks of large local files or folders (or passed `text`) that a question needs, within `max_tokens`; outline without a query; `ids` to fetch more. Reads no files over HTTPcontext_best_practicesCurated checklist, optionally specialized for Anthropic / OpenAI
Echo AI tools 8
list_echoslist the Echos the connected account can accessget_echofull configuration for one Echoget_embed_snippetcopy-paste widget embed code for an Echoget_headless_integrationfull headless build guide: REST API, streaming chat, commerce, booking, tickets, voice and a ready React componentget_echo_analytics_summaryconversations, messages and usage summarylist_recent_conversationsrecent chat sessions for an Echoget_conversation_historymessages in one conversationsend_message_to_echochat with an Echo (consumes the owner's Echo AI credits)
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.
Context Doctor
{
"mcpServers": {
"context-doctor": {
"command": "npx",
"args": [
"-y",
"context-doctor"
]
}
}
}
Echo AI
{
"mcpServers": {
"echo-ai": {
"url": "https://auth.echoai.so/functions/v1/mcp"
}
}
}
Frequently asked questions
Context Doctor is categorized under Conversational AI and uses a local stdio subprocess. Echo AI belongs to Conversational AI and uses a remote HTTP/SSE transport. Pick Context Doctor for conversational ai work and Echo AI for conversational ai.
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.
Context Doctor has no declared pricing — check the project's own site. Echo AI has no declared pricing — check the project's own site. 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 context-doctor and echo-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Context Doctor has a quality signal of 56/100 (Good) with 1 views, 0 installs and 2 GitHub stars. Echo AI has 48/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.