# Sofya (remote · sofya.co)

Web search, fetch, extract, and research for AI agents. Markdown output + AI-synthesized answers.

- Trust score: 73/100 (medium)
- Change this week: +10
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `sofya.co`: 73/100 (this document), [markdown](https://verifymcp.io/servers/co-sofya-sofya/sofya.md), [page](https://verifymcp.io/servers/co-sofya-sofya/sofya)

## Channel facts

- Endpoint: `https://sofya.co/mcp`
- Transports: `streamable-http`
- Auth: `required`
- Version: `1.27.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 94/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation is enforced on tool calls, advertised via RFC 9728 protected-resource metadata. Discovery is public, which costs nothing: no tool can be invoked without a token.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
  - The authorisation server offers only Dynamic Client Registration (RFC 7591), which MCP 2026-07-28 deprecated in favour of Client ID Metadata Documents.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 62/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1080 tokens (~270/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Capabilities**: 40/100
  - Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http co-sofya-sofya https://sofya.co/mcp
```

### Codex

```toml
[mcp_servers.co-sofya-sofya]
url = "https://sofya.co/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "co-sofya-sofya": {
      "type": "remote",
      "url": "https://sofya.co/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add co-sofya-sofya --url https://sofya.co/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  co-sofya-sofya:
    url: "https://sofya.co/mcp"
```

### Other

```json
{
  "mcpServers": {
    "co-sofya-sofya": {
      "type": "http",
      "url": "https://sofya.co/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-01 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 71, +7)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 64, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-28 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 63, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 62)

First indexed and scored.

## MCP tools (4)

### `search` (~422 tokens)

Search the web for current information on any topic. Returns extracted page content, not just snippets. Best for factual lookups, specific questions, or when you need a list of sources. For open-ended questions that need synthesis across many sources, use the research tool instead.

For news queries (current events, breaking news, politics, world events), set topic="news" to search news sources specifically. This returns recent articles with publication dates.

Set include_answer=true to get an AI-synthesized answer alongside results (adds 5 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 8 credits, much cheaper than a full 25-credit research call.

Returns: query, answer (if requested), results (array of {title, url, content, description, fetched, published_date}), search_depth, topic, elapsed_ms, credits_used, credits_remaining, altered_query.

Args:
    query: The search query
    search_depth: "basic" (default) for extracted page content (3 credits), "snippets" for SERP snippets only without page fetching (1 credit)
    max_results: Number of results (default 10, max 20)
    include_answer: Generate an AI answer that synthesizes the search results (adds 5 credits)
    include_domains: Only include results from these domains (max 10)
    exclude_domains: Exclude results from these domains (max 10)
    topic: "general" for web search, "news" for news articles. use "news" for current events, breaking news, politics, or any time-sensitive query
    freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD"

Input parameters:

- `exclude_domains`
- `freshness`
- `include_answer` (boolean)
- `include_domains`
- `max_results` (integer)
- `query` (string, required)
- `search_depth` (string)
- `topic` (string)

### `fetch` (~213 tokens)

Fetch one or more URLs and return their content as clean markdown. Use this to read articles, documentation, blog posts, or any page where you need the complete text, not just a snippet from search. Also supports PDF, DOCX, and other document formats. Costs 1 credit per URL. Max 10 URLs per request. Failed URLs are not charged.

Set include_raw_html=true to also get the raw HTML source in each result. Useful for inspecting embedded URLs, data attributes, iframes, or script tags that are stripped during markdown conversion. Returns null for non-HTML content (PDF, DOCX, etc.). Same cost.

Returns: results (array of {title, url, content, raw_html, published_time, success, error}), credits_used, credits_remaining.

Args:
    urls: List of URLs to fetch (max 10)
    include_raw_html: Include raw HTML source in each result (default false)

Input parameters:

- `include_raw_html` (boolean)
- `urls` (array, required)

### `extract` (~191 tokens)

Fetch a webpage and extract specific information using AI. Use this when you need structured data from a page (e.g. pricing, specs, contact info) rather than the raw content. Costs 5 credits.

If the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on.

Returns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_content).

Args:
    url: The URL to extract from
    prompt: What information to extract (e.g. "list all pricing tiers with features" or "extract the author name and publication date")

Input parameters:

- `prompt` (string, required)
- `url` (string, required)

### `research` (~229 tokens)

Perform comprehensive research on a topic. Decomposes your query into sub-queries, searches and reads multiple sources in parallel, then synthesizes a structured report with citations. Best for open-ended or comparative questions that need coverage from many angles. For simple factual lookups, use search instead (optionally with include_answer=true for cheap synthesis). Costs 25 credits.

Returns: query, report (structured markdown with citations), sources (array of {title, url, fetched}), sub_queries (the decomposed queries), credits_used, credits_remaining, usage (token counts).

Args:
    query: The research question or topic
    topic: "general" (default) or "news" (prioritize recent news articles)
    freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD"
    max_sources: Maximum number of sources to use, 5-30 (default 20)

Input parameters:

- `freshness`
- `max_sources` (integer)
- `query` (string, required)
- `topic` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/co-sofya-sofya/sofya#diagnostics

## Score history

- 2026-08-03: 73
- 2026-08-02: 72
- 2026-08-01: 72
- 2026-07-31: 71
- 2026-07-30: 64
- 2026-07-29: 64
- 2026-07-28: 64
- 2026-07-27: 63
- 2026-07-26: 62

## Links

- Remote endpoint: https://sofya.co/mcp
- Authorisation metadata: https://sofya.co/.well-known/oauth-protected-resource/mcp
- Website: https://sofya.co/
- Changelog RSS feed: https://verifymcp.io/servers/co-sofya-sofya/sofya/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/co-sofya-sofya/sofya/changelog.json
- HTML version of this page: https://verifymcp.io/servers/co-sofya-sofya/sofya
