Sapling language model API toolkit and copilot for enterprise tasks. Sapling offers an API/SDK and turnkey integrations for grammar/spell checking, autocomplete, AI detection, paraphrasing, sentiment analysis, and more.
This listing identifies a third-party MCP server. MCPBundles is not affiliated with, sponsored by, or endorsed by the service or its operator unless stated on this page.
This server may ask you to sign in when your AI client connects.
Last probed Nov 3, 2026 · mcp.sapling.ai
14tools discovered
For AI agents — MCPBundles Directory API
For MCP client apps (human connect):
MCP connect URL: https://mcp.sapling.ai/mcp
Skill page: https://www.mcpbundles.com/skills/sapling-mcp-d4321c3e5c
Explore capabilities (14)
read 14
Sapling
14
Grammar and spelling check
read
sapling_grammar_check
Check text for grammar, spelling, and style issues. Returns a list of suggested edits, each with the sentence, character span (start/end), replacement text, and an error type. Set auto_apply=true to also receive applied_text: the input with all suggested edits already applied (useful to return a corrected document in one call). Supports many languages via the lang parameter.
Grammar and spelling check — Check text for grammar, spelling, and style issues. Returns a list of suggested edits, each with the sentence, character span (start/end), replacement text, and an error type. Set auto_apply=true to also receive applied_text: the input with all suggested edits already applied (useful to return a corrected document in one call). Supports many languages via the lang parameter.
Spelling-only check — Check text for spelling errors only (no grammar or style suggestions). Returns edits in the same format as sapling_grammar_check. Faster and cheaper than a full grammar check when only misspellings matter.
AI-generated text detection — Score how likely a text is to be AI-generated. Returns an overall score between 0 (likely human-written) and 1 (likely AI-generated), plus per-sentence scores by default. Provide at least ~50 characters of text for a meaningful score.
Rephrase / paraphrase — Generate alternative phrasings of a text. mapping selects the transformation (default "paraphrase"); num_results controls how many alternatives are returned (default 5).
Summarize text — Produce a concise summary of a longer text or document.
Tone classification — Classify the emotional tone of a text (e.g. friendly, confident, sad, angry). Returns overall and per-sentence tone labels with confidence scores.
Sentiment analysis — Classify the sentiment of a text (positive / neutral / negative). Returns overall and per-sentence sentiment with confidence scores.
Language detection — Detect the language a text is written in. Returns an ISO 639-1 code and a confidence value.
PII detection and redaction — Detect personally identifiable information (emails, phone numbers, US SSNs, credit card numbers, IP addresses, IBANs, US bank routing numbers) in a text. Detection is deterministic (regex + checksum validation, no ML), and every entity comes with exact character offsets (start/end) into the submitted text. Set redact=true to also receive redacted_text: the input with each entity replaced by a placeholder like [EMAIL]. Person names and street addresses are not detected.
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
Sapling language model API toolkit and copilot for enterprise tasks. Sapling offers an API/SDK and turnkey integrations for grammar/spell checking, autocomplete, AI detection, paraphrasing, sentiment analysis, and more.
How do I connect Sapling to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
How many tools does Sapling provide?
Operate this server?
Request removal if you do not want Sapling listed here, or claim the listing if you want to manage it on MCPBundles.
Operate Sapling?
This server appears in the MCPBundles directory. Verify you operate it to take over the listing — name, description, logo, contact email, and skill content. We email a 6-digit code to a maintainer address your server publishes in /.well-known/security.txt or /.well-known/mcpbundles.json. Free, takes about a minute.
MCPBundles publishes this directory for MCP discovery. Except where we host or operate an offering, third-party services run under their own terms. Product and company names on this page are used in a descriptive, identifying way (including under nominative fair use where applicable); they remain the property of their owners. Nothing here grants you rights in those marks, and nothing here is an offer to sell a third party's services. Terms · Request removal
More in developer tools
Other MCP servers in this category from the directory index
Readability statistics — Compute readability statistics for a text: grade-level readability scores, estimated reading time, and counts of characters, words, and sentences.
Writing quality score — Score the writing quality of a text from 1 (poor) to 5 (excellent). Returns score: a fluency/grammaticality score from a language model. Set sentence_scores=true to also get a per-sentence breakdown (sentences with start/end offsets and their own score) to find the weakest sentences. Set rubric=true for an LLM-judged rubric: overall score, per-dimension scores (clarity, coherence, correctness, concision), a summary, and concrete issues each with the quoted excerpt, offsets, a note, and a suggest
SEO analysis and metadata — Analyze a page or article for on-page SEO and generate metadata. Returns stats (words, sentences, paragraphs, reading time, Flesch reading ease and grade), per-target-keyword count/density/whether it appears in the first 100 words, top_terms (the most frequent content words and phrases), and suggestions: title-tag candidates (the model aims for <=60 chars; any over a 90-char hard cap are dropped), meta-description candidates (aims for 120-155 chars; hard cap 220), a URL slug (null if none could
Zero-shot text classification — Classify a text into a set of labels you supply — intent, topic, category, routing queue, sentiment buckets, anything — without training data. Returns label (the best match, always one of your labels), labels (single-label: just the best match; multi-label: every label whose score >= threshold, possibly empty), scores (one {label, score} per input label, descending; a distribution in single-label mode, independent 0-1 applicability in multi-label mode) and a one-sentence rationale. Labels can be
Structured data extraction — Pull structured fields out of unstructured text — invoice numbers, amounts, dates, names, addresses, order ids, anything the document actually states — by describing the fields you want. Returns data (a {field: value} map, null where the text does not state the field), fields (per-field value, the verbatim evidence span it came from, and whether it was found) and missing (the fields the text did not yield). Values are returned in the type you declare (string, number, integer, boolean, date as YY
MCPBundles probed 14 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does Sapling require?
Sapling may require signing in to the provider before tools can run. Connect through MCPBundles or your MCP client and complete any provider login when prompted.
Don't want this listed?
Request removal from the MCPBundles directory. We stop publishing this listing on mcpbundles.com.
MCPBundles is an independent platform built on the open Model Context Protocol standard. MCPBundles is not affiliated with, sponsored by, or endorsed by Anthropic PBC.