Ocular vs Ssh MCP
A side-by-side look at the Ocular and Ssh MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Ocular for coding agents work as a local process; choose Ssh MCP for coding agents as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Ocular when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
OCULAR_BASE_URL, OCULAR_API_KEY, OCULAR_MODEL. - You want tools like
analyze_image, extract_text_from_image, analyze_ui_screenshot.
Choose Ssh MCP when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: other.
- You have the keys it needs:
SSH_MCP_PASSWORD, SSH_AUTH_SOCK. - You want tools like
list-connections, list-sessions, open-session.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Coding Agents | Coding Agents |
| Quality signal | 60/100 · Good | 69/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | other |
| Pricing | Not declared | Free |
| Required env vars | OCULAR_BASE_URLOCULAR_API_KEYOCULAR_MODEL | SSH_MCP_PASSWORDSSH_AUTH_SOCK |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 819 |
| Directory activity | 1 views 0 installs 0 upvotes | 6 views 0 installs 0 upvotes |
| Tools | 8 | 14 |
| Full listing | View Ocular | View Ssh MCP |
Tools & capabilities
Ocular tools 8
analyze_imageAnalyze a general image and return structured JSON for a coding agent.extract_text_from_imageExtract OCR text from screenshots, documents, tables, terminal output, or code images.analyze_ui_screenshotAnalyze a webpage, app, UI, or design mockup screenshot for frontend implementation work.diagnose_error_screenshotAnalyze error, terminal, console, browser, or build failure screenshots.compare_ui_screenshotsCompare two UI screenshots and return implementation-useful visual differences.extract_table_from_imageExtract visible table data from an image as structured JSON, Markdown, or CSV-oriented output.analyze_chart_imageAnalyze a chart image and return labels, trends, approximate values, and limitations.create_upload_sessionReturns upload instructions for the binary side channel (use this to analyze LOCAL image files without base64 corruption). Before uploading, verify the local file exists and is non-empty with Bash (e.g. `ls -la <path>` or `test -f <path> && stat -c %s <path>`). Then PUT the raw bytes to the returned upload_url with curl --data-binary (NOT base64); the response gives a file_id to pass to any vision tool. Stateless -- call once to learn the endpoint.
Ssh MCP tools 14
list-connectionsDiscover available hosts and connection statuslist-sessionsList active sessions per hostopen-sessionCreate a named interactive (stateful) or background sessionclose-sessionClose a session. A background session's command is signalled (INT/TERM/KILL) before its channel is droppedread-session-outputRead output from background sessions (e.g., `tail -f`)read-commandExecute allowlisted read-only commands (`ls`, `cat`, `grep`, ...)run-commandExecute arbitrary commands (destructive/privileged need approval, unless `approvalPolicy = "auto"`)privileged-commandExecute with sudo (needs approval, unless `approvalPolicy = "auto"`)sftp-uploadUpload a file via SFTP (replaces the destination unconditionally)sftp-downloadDownload a file via SFTPsftp-listList a remote directory, bounded in entries and bytessftp-upload-fileStream a local file to the remote host, never through model context- +2 more on 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.
Ocular
{
"mcpServers": {
"ocular": {
"command": "npx",
"args": [
"-y",
"ocular-mcp"
],
"env": {
"OCULAR_BASE_URL": "YOUR_OCULAR_BASE_URL_HERE",
"OCULAR_API_KEY": "YOUR_OCULAR_API_KEY_HERE",
"OCULAR_MODEL": "YOUR_OCULAR_MODEL_HERE"
}
}
}
}
Ssh MCP
{
"mcpServers": {
"tufantunc-ssh-mcp": {
"command": "npx",
"args": [
"-y",
"ssh-mcp"
],
"env": {
"SSH_MCP_PASSWORD": "YOUR_SSH_MCP_PASSWORD_HERE",
"SSH_AUTH_SOCK": "YOUR_SSH_AUTH_SOCK_HERE"
}
}
}
}
Frequently asked questions
Ocular is categorized under Coding Agents and uses a local stdio subprocess. Ssh MCP belongs to Coding Agents and uses a local stdio subprocess. Pick Ocular for coding agents work and Ssh MCP for coding agents.
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.
Ocular has no declared pricing — check the project's own site. Ssh MCP is listed as free. Auth: other. 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 ocular and tufantunc-ssh-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Ocular has a quality signal of 60/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Ssh MCP has 69/100 (Great) with 6 views, 0 installs and 819 GitHub stars.